AUGMANITAI Compendium — Wave 1 (104 Terms)
type: DefinedTermSet
type: Dataset
description: A systematic terminology for human experiences in AI interaction. Wave 1 release: 104 terms from the AUGMANITAI Compendium V2.1. By Andreas Ehstand — Independent Researcher, Tennis & Padel Coach, Terminology Researcher. New words for new worlds. Stay human. ❤️🤖
version: 2.1
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
creator: Andreas Ehstand
  type: Person
  description: Independent researcher, tennis & padel coach, and independent researcher in applied terminology science. Creator of the AUGMANITAI Compendium (2,000+ named phenomena for human experiences in AI interaction). His path led from 25 years of professional sport coaching — including multiple years as a Bundesliga tennis coach — through software development into AI research, resulting in the an extensive terminology corpus for human-AI interaction. Background in academic pedagogy research with additional quantitative methods training. Holder of the Zertifikat Hochschullehre Bayern. GPTCA/ISMCA Mental Coach with endorsements from Toni Nadal, Tomas Smid, Alberto Castellani, Hernan Flores, Dominic Condrau (Paris 2024 Olympic finalist), and the head coach of the German national golf team. Inspired by ISO 704/1087/30042 principles. CC BY-NC-ND 4.0. Stay human. ❤️🤖 From court to code to compendium. 🎾🤖❤️
date published: 2026-03-14
language: en
language: de
has defined term: Reciprocal Humor Escalation
has defined term: Humor-Framed Correction
has defined term: Delayed Humor Recognition
has defined term: Input-Attribution Realization
has defined term: Everyday Insight
has defined term: Rhetorical-Register Discrimination Ability
has defined term: Deliberate Incoherent Prompting
has defined term: Tension-Release Humor
has defined term: Positive Affect Spike
has defined term: Humor Cascade
has defined term: Motivation Restoration
has defined term: Pause Power
has defined term: Algorithmic Intuition
has defined term: Non-Frustrated Error Recovery
has defined term: Day Highlight
has defined term: Minimal Calming Cue
has defined term: Playful Correction
has defined term: Progress Reflection
has defined term: Elevated Positive-Affect Passage
has defined term: Error Composure
has defined term: Serendipitous Finding
has defined term: Motivation Recovery
has defined term: Pace-Reduction Mode
has defined term: State Gratitude Appraisal
has defined term: Productive Reframe
has defined term: Emotional Overload Reset
has defined term: Habitual Daily Integration
has defined term: Calm Shift
has defined term: Felt-Coherence State
has defined term: Momentary Optimism Appraisal
has defined term: Positive Pivot
has defined term: No-Stress Swap
has defined term: Gratitude Turn
has defined term: Divergent Ideation Burst
has defined term: Relaxation Edit
has defined term: Deliberate Slow Restart
has defined term: Calm Reset
has defined term: Goal-Match Acknowledgment
has defined term: Aesthetic-Formulation Pleasure
has defined term: Gesture Language
has defined term: Vigilance Rhythm
has defined term: Brief Activating Prompt
has defined term: Tone-Appropriateness Query
has defined term: Optional Creative Prompt
has defined term: Mid-Task Micro-Correction
has defined term: Low-Friction Interaction
has defined term: Specific Gratitude Reference
has defined term: Collaborative Phrasing Refinement
has defined term: Relaxation Breath
has defined term: Supportive Warmth Style
has defined term: Gentle Layer
has defined term: Gentle Nudge
has defined term: Error Normalization Stance
has defined term: Low-Friction Topic Re-Entry
has defined term: Adaptive Continuity
has defined term: Drift Fix
has defined term: Post-Failure Affect Recovery
has defined term: Brief Positive-Affect Lift
has defined term: Disproportionate Small Utility
has defined term: Unobtrusive Assistance Mode
has defined term: Sufficiency Acceptance State
has defined term: End-of-Day Positive Closure
has defined term: Reset Noise
has defined term: Activation Impulse
has defined term: Deliberate Restart
has defined term: Morning Orientation Routine
has defined term: Conversational Afterimage
has defined term: Indexical Memory
has defined term: Capability-Limit Encounter
has defined term: Sudden Comprehension Event
has defined term: Relaxed Return

PropertyValue
property ID: ORCID
value: 0009-0006-3773-7796

PropertyValue
property ID: Wikidata
value: Q138634675

PropertyValue
property ID: EUIPO Trademark (License of Clarity)
value: 019206780

PropertyValue
property ID: ISBN (Faszination Padel)
value: 978-3-8403-7928-4

Reciprocal Humor Escalation
type: DefinedTerm
description: A self-reinforcing humorous exchange between a user and an AI system in which each party's playful turn prompts a further playful turn, lowering perceived tension. Distinguished from a single joke by its turn-to-turn escalation.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1004
alternate name: Loop Laugh
alternate name: Loop-Lachen
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when, within a dialogue transcript, a humorous turn by one party is followed by an on-topic humorous turn from the other party that explicitly builds on it, forming a run of at least two reciprocal humorous turns. The run is the unit counted; the first non-humorous or topic-resetting turn ends it.
measurement schema: Proposed measurement protocol (not yet empirically validated): Two raters annotate transcripts for reciprocal-humor runs and record run length (number of consecutive humorous turns); inter-rater agreement on run boundaries could be reported as Cohen's kappa. Could be reported as runs per 100 turns and mean run length.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1037.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1027.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1034.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1028.html
inclusion criteria: Both partners generate humor and the human signals levity within a 2-turn window.
exclusion criteria: Sarcastic, hostile, or one-sided humor lacking reciprocal acknowledgment.

Humor-Framed Correction
type: DefinedTerm
description: A corrective AI response that frames a needed change to the user's input or assumption in a light, humorous register; a pattern in which the user's reported acceptance of the correction is observed to be higher than for an equivalent plain correction. Distinguished from a plain correction by its humorous framing.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1046
alternate name: Nudge Laugh
alternate name: Schubs-Lachen
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when an AI turn both (a) signals that the user's prior input was wrong, suboptimal, or incomplete and (b) carries a humorous device (pun, playful exaggeration, ironic aside), and the immediately following user turn adopts the suggested change. Coders tag the correction turn and the user-uptake turn.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of correction turns into 'humor-framed' vs 'plain', paired with a binary uptake judgment on the next user turn; agreement would be assessed via Cohen's kappa. Primary metric: correction-acceptance rate (accepted humor-framed corrections / all humor-framed corrections).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1037.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1025.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1018.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1043.html
inclusion criteria: Brief (<30 token) AI humor-cue followed by human levity-signal in the next turn.
exclusion criteria: Extended humorous exchanges, jokes longer than 30 tokens, or unsolicited human-initiated humor.

Delayed Humor Recognition
type: DefinedTerm
description: A delayed humorous reaction in which the user first processes an AI output's literal meaning and only afterward perceives it as funny, often laughing at their own delayed comprehension. Distinguished from immediate humor by the lag between exposure and amusement.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1052
alternate name: Backward Laugh
alternate name: Rückwärts-Lachen
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when a user signals amusement (explicit laughter token such as 'haha', or a remark like 'oh, now I get it') referring to an AI turn that is at least one user turn earlier, i.e. amusement is expressed only after an intervening non-humorous turn. The delayed-amusement turn is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Latency measure: for each amusement signal, coders link it to the eliciting AI turn and record the turn-distance and elapsed seconds between exposure and amusement; linkage agreement would be assessed via Cohen's kappa. Could be reported as median exposure-to-amusement latency and share of amusement signals that are delayed (>0 intervening turns).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1037.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1007.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1068.html
inclusion criteria: Explicit retrospective reference to an earlier specific turn paired with amusement marker.
exclusion criteria: Generic positive session-summary statements without reference to a specific earlier turn.

Input-Attribution Realization
type: DefinedTerm
description: A realization by the user that an unsatisfactory AI output stemmed from an unclear or underspecified prompt rather than from a model error, prompting the user to revise the input. Distinguished from generic insight by its attribution of shortfall to one's own input.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1037
alternate name: Adjustment Aha
alternate name: Anpassungs-Aha
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when, following an unsatisfactory AI output, the user produces a turn that (a) attributes the shortfall to their own prior prompt (e.g. 'I wasn't clear', 'I meant') and (b) supplies a more specified reformulation in the same or next turn. The attribution-plus-reformulation turn is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of post-shortfall user turns for self-attribution of the input shortfall and for presence of a more-specified reformulation; agreement would be assessed via Cohen's kappa. Primary metric: self-attribution-and-repair count per 100 user-initiated repairs, optionally cross-checked against measured increase in prompt specificity (added constraints/tokens).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1037.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1006.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1045.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1058.html
inclusion criteria: GSR peak co-occurring with verbal aha-marker plus stylistic distance above 0.3 in subsequent turn-window.
exclusion criteria: GSR peaks attributable to external stimuli (interruption, ambient noise) confirmed via concurrent sensor data.

Everyday Insight
type: DefinedTerm
description: An insight arising from AI interaction that the user reports as changing how they perceive an everyday phenomenon, such as a new perspective, an unexpected connection, or a useful reinterpretation. Distinguished from in-task problem-solving by its carry-over into ordinary life.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0625
language: en
about: compendium
operational definition: EVENT. One occurrence would be coded when a user statement, during or after a session, reports a changed everyday understanding attributable to the interaction (naming the prior view and the revised view). The report is the unit counted; restatements of the same insight within one session are counted once.
measurement schema: Proposed measurement protocol (not yet empirically validated): Diary/exit self-report: users log everyday insights with a brief before/after description; two raters classify each entry as a genuine perspective change vs restated prior knowledge, agreement would be assessed via Cohen's kappa. Could be reported as verified everyday-insight reports per user per week.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0368.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0001.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
inclusion criteria: Diary entry within 24h linking a routine AI exchange to a stated realization.
exclusion criteria: Insights from explicit problem-solving sessions or task-instructed reflection.
alternate name: The Everyday Insight

Rhetorical-Register Discrimination Ability
type: DefinedTerm
description: An individual user's graded ability to identify the rhetorical register of an AI output, for example whether it is serious, ironic, neutral, or exaggerated. Distinguished from comprehension of content by its focus on tone, and it varies across users.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0670
language: en
about: compendium
operational definition: STATE. The rated quantity is a user's tone-classification accuracy: across a fixed set of AI outputs pre-labelled for rhetorical register by expert consensus, the proportion the user labels correctly. Higher proportion indicates greater ability. Measured per user, not per interaction.
measurement schema: Proposed measurement protocol (not yet empirically validated): Forced-choice tone-classification test: each user labels a calibrated item set against an expert-consensus key; ability scored as percent correct (or d-prime for irony vs literal). Item-set reliability reported via Cronbach's alpha; expert key reliability via Fleiss' kappa across labellers.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0368.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0047.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0092.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
inclusion criteria: Closed-set label selection with rationale linked to textual cues.
exclusion criteria: Random or pattern-only responding without justification cues.
alternate name: The Rhetorical Tone Detector

Deliberate Incoherent Prompting
type: DefinedTerm
description: A deliberately incoherent, heterogeneous prompt assembled by the user so that the AI system produces unexpected or creative combinations from the disparate elements. Distinguished from an ordinary prompt by its intentional internal inconsistency.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1050
alternate name: Surprise Salad
alternate name: Überraschungs-Salat
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when a user prompt deliberately juxtaposes three or more semantically unrelated elements (topics, registers, or domains) in a single request, as judged by coders, with the apparent aim of eliciting novel combination. The composite prompt is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Prompt-level content coding: raters count distinct unrelated elements per prompt and flag intentional juxtaposition; agreement would be assessed via Cohen's kappa. Complementary objective index: lexical-semantic dispersion of the prompt (mean pairwise embedding distance of its content segments). Could be reported as deliberate-mix prompts per session and mean dispersion.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1050.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1059.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1067.html
inclusion criteria: Multi-domain output identifiable AND hedonic rating completed.
exclusion criteria: Outputs where the user explicitly requested a mash-up (no surprise component).

Tension-Release Humor
type: DefinedTerm
description: A targeted use of humor within an interaction intended to release built-up tension and restore the user's capacity to keep working. Distinguished from incidental humor by its deployment at a point of friction or stall.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1040
alternate name: Humor Hook
alternate name: Humor-Haken
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when a humorous turn occurs immediately after a friction marker (expressed frustration, repeated unsuccessful attempt, or stall) and is followed within two turns by resumption of task-directed activity. The humor turn at the friction point is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Sequential coding: raters tag friction markers, subsequent humor turns, and task-resumption within a two-turn window; boundary agreement would be assessed via Cohen's kappa. Primary metric: task-resumption rate after friction-point humor, with median turns-to-resumption as a secondary latency indicator.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1040.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1006.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1028.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1032.html

Positive Affect Spike
type: DefinedTerm
description: A brief, unexpected moment of positive affect during an interaction that the user reports as releasing energy or lifting engagement. Distinguished from sustained mood by its short, punctate character.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1027
alternate name: Joy Jolt
alternate name: Freude-Impuls
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when a user emits a discrete positive-affect signal (e.g. 'oh nice!', exclamation of delight) tied to a specific AI turn, lasting a single turn rather than a sustained passage. The affect-signal turn is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): In-the-moment self-report: users tap a single-press affect marker when they feel a positive jolt, timestamped against the eliciting turn; optionally validated against rater-coded positive-affect tokens (agreement would be assessed via Cohen's kappa). Could be reported as positive-jolt events per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1027.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1031.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1025.html

Humor Cascade
type: DefinedTerm
description: A self-reinforcing sequence of humorous reactions across consecutive turns that produces a sense of lightness and can dislodge a cognitive block. Distinguished from a single humorous exchange by its escalating chain of three or more reactions.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1051
alternate name: Giggle Chain
alternate name: Kicher-Kette
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when at least three consecutive turns each contain a humorous reaction that builds on the prior one, forming an unbroken chain. The chain is the unit counted; it ends at the first non-humorous turn. (Differs from Reciprocal Humor Escalation by requiring a longer unbroken run.)
measurement schema: Proposed measurement protocol (not yet empirically validated): Transcript coding of unbroken humorous chains with a minimum length of three turns; raters record chain length and whether a preceding stall was present, boundary agreement would be assessed via Cohen's kappa. Could be reported as chains per 100 turns and mean chain length.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1051.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1006.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1018.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1026.html
inclusion criteria: At least 3 consecutive humor-marked turns within 5-turn window.
exclusion criteria: Chains broken by topic-shift or single-side humor maintenance.

Motivation Restoration
type: DefinedTerm
description: A short interaction intended to restore the user's motivation and positive mood after a dip. Distinguished from ongoing encouragement by its brief, bounded, restorative character.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1044
alternate name: Joy Fix
alternate name: Freude-Fix
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when, following a user signal of low motivation or mood, a brief AI intervention (one to two turns) is followed by a user signal of restored willingness to continue (e.g. 'ok, let's keep going'). The intervention-plus-recovery pair is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post single-item mood-and-motivation self-report (e.g. a 1-7 'ready to continue' rating) bracketing the intervention; effect quantified as the within-user pre-to-post change. Complementary behavioural index: whether the user resumed the task within two turns. Could be reported as mean motivation gain and resumption rate.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1044.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1019.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1007.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1048.html

Pause Power
type: DefinedTerm
description: The user's practice of deliberately inserting a pause between receiving an AI output and sending the next input, in order to avoid impulsive replies and improve the quality of the following prompt. Distinguished from incidental delay by its intentional, regulatory character.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1005
alternate name: Pause-Power
language: en
about: humor-affect
operational definition: STATE. The rated quantity is the user's deliberate inter-turn pausing: operationalised as the inter-turn interval (seconds between receiving an output and sending the next input) for turns the user marks or self-reports as intentional pauses, contrasted with their baseline interval. Higher relative interval on reflective turns indicates more of the construct.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioural timing: log inter-turn latency per turn; compare median latency on user-flagged reflective turns against the user's overall median (within-subject ratio). Complementary self-report: a short habit scale (e.g. 1-7, 'I pause before replying') for trait-level pausing. Could be reported as reflective-turn latency ratio and habit-scale score.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1005.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1059.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1050.html
inclusion criteria: Reflection-Impulsivity assessment completed AND at least 50 prompt-pairs logged for latency analysis.
exclusion criteria: Participants whose latency is dominated by external interruptions.

Algorithmic Intuition
type: DefinedTerm
description: An experienced user's implicit, practice-acquired sense for which kind of input tends to yield which kind of result, applied without deliberate analysis each time. Distinguished from explicit prompting knowledge by being tacit and predictive rather than reasoned step by step.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0088
language: en
about: compendium
operational definition: STATE. The rated quantity is predictive accuracy without deliberation: given candidate prompts, the user forecasts which will yield the better result; accuracy is the proportion of forecasts confirmed by subsequent outputs under blind evaluation. Higher accuracy, achieved with low reported deliberation, indicates more of the construct. Measured per user.
measurement schema: Proposed measurement protocol (not yet empirically validated): Prediction task: users rank or choose among candidate prompts before execution; outcomes are graded blind by independent raters, and the user's hit rate is compared to chance. Deliberation is captured by decision latency and a brief 'how much did you reason' item. Could be reported as above-chance prediction accuracy at low deliberation; rater grading reliability via ICC.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0368.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0194.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0305.html
inclusion criteria: Pre-output prediction grounded in stated prior-interaction reasoning.
exclusion criteria: Random guesses or predictions made after partial output reveal.

Non-Frustrated Error Recovery
type: DefinedTerm
description: An AI error that the user consciously accepts and treats as a learning signal, responding with quick correction and continuation rather than annoyance. Distinguished from an unremarked error by the user's explicit non-frustrated, corrective response.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1030
alternate name: Oops Moment
alternate name: Hups-Moment
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when an identifiable AI error is followed by a user turn that (a) acknowledges the error without expressed frustration and (b) issues a corrective instruction, with the task continuing in the next turn. The error-plus-non-frustrated-correction pair is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of post-error user turns on two dimensions, frustration tone (present/absent) and corrective action (present/absent); agreement would be assessed via Cohen's kappa. Primary metric: share of AI errors met with non-frustrated correction; secondary: turns-to-task-continuation.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1030.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1035.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1034.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
inclusion criteria: Identifiable error AND Goal Orientation scale completed within 14 days.
exclusion criteria: Errors leading to immediate session-termination.

Day Highlight
type: DefinedTerm
description: A user's deliberate act of marking a positive moment from the day, often with AI support, to consolidate it emotionally. Distinguished from passive recall by the explicit selection and recording of the moment.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1059
alternate name: Tages-Highlight
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when the user explicitly designates a specific positive moment of the day for recording or reflection (e.g. naming it as 'the highlight'), producing a recorded or stated entry. The designation entry is the unit counted; one per reviewed period unless distinct moments are named.
measurement schema: Proposed measurement protocol (not yet empirically validated): Structured daily-review log: users record a single named positive highlight per session; completion is tracked as adherence (entries / eligible days), and entry quality (specific event vs vague) is rated by two coders with Cohen's kappa. Could be reported as adherence rate and specific-entry proportion.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1059.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1033.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1030.html

Minimal Calming Cue
type: DefinedTerm
description: A small verbal cue from the AI that elicits a disproportionately large sense of calm in the user. Distinguished from extended de-escalation by its minimal linguistic footprint relative to its calming effect.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1012
alternate name: Serenity Spark
alternate name: Ruhe-Funke
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when a brief AI utterance (a single short phrase or sentence) is immediately followed by a user signal of increased calm (explicit statement, or a measured drop in agitation markers such as exclamation density or all-caps). The cue-plus-calming-response pair is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post momentary-calm self-report (single-item 1-7) bracketing the cue, paired with a length check confirming the cue is brief (token count below a set threshold). Effect quantified as calm gain per token of cue. Complementary objective marker: change in agitation tokens before vs after. Could be reported as mean calm gain and effect-per-token.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1053.html
inclusion criteria: FFMQ completed within 30 days AND in-session spark-marker mechanism available.
exclusion criteria: Markers tapped without subsequent serenity-state completion.

Playful Correction
type: DefinedTerm
description: An AI error correction delivered in a playful tone that preserves the user's willingness to learn rather than provoking defensiveness. Distinguished from a neutral correction by its playful register and its effect on receptiveness.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1054
alternate name: Fun Correct
alternate name: Spaß-Korrektur
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when an AI correction turn carries a playful register and the following user turn shows continued engagement (accepts the point, asks a follow-up, or proceeds) rather than defensiveness (denial, disengagement). The correction-plus-engaged-response pair is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding pairing correction register (playful/neutral) with the subsequent user response (engaged/defensive); agreement would be assessed via Cohen's kappa. Primary metric: continued-engagement rate following playful corrections, compared against neutral corrections as a within-data contrast.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1054.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1061.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1035.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1025.html

Progress Reflection
type: DefinedTerm
description: A moment in which achieved progress is reflected back to the user, with the aim of strengthening their sense of self-efficacy. Distinguished from generic praise by its specific reference to concrete progress already made.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1022
alternate name: Pride Pulse
alternate name: Stolz-Impuls
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when an AI (or user-self) turn explicitly references a specific, completed increment of progress (naming what was accomplished) in a way that attributes it to the user. The progress-reflection turn is the unit counted; vague praise without a named accomplishment does not qualify.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post self-efficacy self-report on the relevant task using a brief validated scale (e.g. a short General Self-Efficacy item set, 1-5); effect quantified as within-user change after progress-reflection turns. Coders verify each turn names a concrete accomplishment, with agreement would be assessed via Cohen's kappa. Could be reported as self-efficacy change and named-accomplishment rate.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1002.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1067.html

Elevated Positive-Affect Passage
type: DefinedTerm
description: A heightened affective state of connection, joy, or meaning that a user reports during an interaction. Distinguished from a brief affect spike by being a sustained, graded condition rather than a single moment.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1025
alternate name: Heart High
alternate name: Herzens-Hoch
language: en
about: humor-affect
operational definition: STATE. The rated quantity is the intensity of felt connection/joy/meaning during a defined interaction passage, self-reported on a graded scale at the end of the passage. Higher ratings indicate a stronger state. Rated per passage, not counted as discrete events.
measurement schema: Proposed measurement protocol (not yet empirically validated): Multi-item affect self-report combining a connection/closeness item set (e.g. Could be reported as mean state-intensity score per passage.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1025.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1029.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1042.html

Error Composure
type: DefinedTerm
description: A user's disposition to register AI or task errors with composure because the learning value of the error is clearly apparent. Distinguished from a single calm reaction by being a graded, trait-like tendency across errors.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1032
alternate name: Learn Smile
alternate name: Lern-Lächeln
language: en
about: humor-affect
operational definition: STATE. The rated quantity is the user's typical composure-on-error: across multiple error episodes, the proportion met with a calm, learning-oriented response (versus frustration), or an equivalent self-reported trait rating. Higher proportion or rating indicates more of the disposition. Aggregated per user.
measurement schema: Proposed measurement protocol (not yet empirically validated): Aggregated behavioural index: across a user's error episodes, raters code each response as composed/learning-oriented vs frustrated (Cohen's kappa for agreement), yielding a per-user composure proportion. Complementary trait self-report: a short error-orientation scale (learning vs strain subscales, 1-5). Could be reported as composure proportion and error-orientation score.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1032.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1067.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1009.html

Serendipitous Finding
type: DefinedTerm
description: An unsought finding that the user did not set out to obtain but recognizes as valuable once it appears during interaction. Distinguished from a sought answer by its incidental, unplanned origin.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1058
alternate name: Discovery Ding
alternate name: Entdeckungs-Ding
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when a user turn flags an AI output as valuable while also indicating it was outside the stated goal of the current request (e.g. 'I wasn't looking for that, but that's useful'). The serendipity-flagging turn is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of user turns for two co-present features, expressed value and explicit off-goal origin, against the session's stated task; agreement would be assessed via Cohen's kappa. Complementary self-report: users tag outputs as 'unexpected and useful'. Could be reported as serendipitous-finding events per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1058.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1027.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1043.html

Motivation Recovery
type: DefinedTerm
description: A targeted restoration of the user's motivation following frustration or exhaustion during an interaction. Distinguished from general encouragement by its placement after an explicit motivational low and its restorative intent.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1026
alternate name: Motivation Mend
alternate name: Motivations-Reparatur
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when, after a user signal of frustration or exhaustion, an intervention is followed by a user signal of recovered drive to continue the task. The low-signal, intervention, recovery-signal sequence is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post single-item motivation self-report (1-7 'drive to continue') bracketing the intervention; effect quantified as within-user change, with a behavioural check on whether the task resumed. Could be reported as mean motivation recovery and resumption rate. (Distinguished from AUG-1044 by requiring an explicit frustration/exhaustion antecedent rather than a general mood dip.)
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1026.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1063.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html

Pace-Reduction Mode
type: DefinedTerm
description: A regulating interaction mode characterised by reduced pace, sentence rhythm, and complexity in the AI's turns; a pattern in which the user's reported perceived tempo of the exchange is observed to be lower. Distinguished from distraction by being a slowing of the exchange rather than a topic shift.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1010
alternate name: Calm Wave
alternate name: Ruhe-Welle
language: en
about: humor-affect
operational definition: STATE. The rated quantity is the degree of deliberate slowing within a passage, indexed by measurable output features: reduced words-per-turn, shorter sentences, and lower lexical complexity relative to the session baseline. A larger reduction across these features indicates more of the mode. Rated/measured per passage.
measurement schema: Proposed measurement protocol (not yet empirically validated): Text-metric comparison of 'calming' passages against the session baseline: mean sentence length, words per turn, and a readability index (e.g. Flesch reading-ease); paired with a user momentary-tempo self-report (1-7 'how rushed do you feel'). Could be reported as percent reduction in complexity metrics and change in felt tempo.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1010.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1069.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1032.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
inclusion criteria: ECG or PPG-validated HRV recording with at least 5 minutes pre- and post-baselines.
exclusion criteria: Participants on beta-blockers or with documented arrhythmia.

State Gratitude Appraisal
type: DefinedTerm
description: A reflective state in which the user consciously notices positive aspects of an experience and anchors them emotionally, often prompted by the interaction. Distinguished from a fleeting good feeling by its deliberate, reflective appraisal.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1029
alternate name: Gratitude Glow
alternate name: Dankbarkeits-Leuchten
language: en
about: humor-affect
operational definition: STATE. The rated quantity is the intensity of state gratitude during or after a reflective passage, self-reported on a graded scale, optionally corroborated by the user naming specific positives. Higher ratings indicate a stronger state. Rated per passage, not counted as discrete events.
measurement schema: Proposed measurement protocol (not yet empirically validated): A short state-gratitude self-report (a few items, 1-7) with internal-consistency reporting (Cronbach's alpha). Complementary coding: count of distinct positives the user names, with rater agreement would be assessed via Cohen's kappa. Could be reported as mean state-gratitude score and named-positives count.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1029.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1067.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1006.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1033.html

Productive Reframe
type: DefinedTerm
description: A creative change of direction in the interaction that initially disorients the user but then yields a new and better quality of output. Distinguished from an unproductive tangent by its eventual gain in output quality.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1034
alternate name: Twist Dance
alternate name: Twist-Tanz
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when an abrupt directional shift (by user or AI) is first met with a user signal of irritation or confusion and is subsequently followed, within the same session, by a user judgment that the new direction improved the result. The shift-irritation-improvement sequence is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Sequential rater coding of three linked features, directional shift, initial irritation/confusion, and later quality endorsement; agreement would be assessed via Cohen's kappa. Complementary objective check: pre-shift vs post-shift output rated for quality by blind judges (ICC for rater consistency). Could be reported as productive-pivot events per session and mean pre/post quality gain.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1034.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1030.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1019.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1035.html

Emotional Overload Reset
type: DefinedTerm
description: A deliberate act of resetting emotional overload so the user can re-engage with their own needs. Distinguished from ongoing self-soothing by being a discrete, marked break that re-orients the user after overload.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1064
alternate name: Heart Reset
alternate name: Herzens-Reset
language: en
about: humor-affect
operational definition: EVENT. One occurrence would be coded when, following a user signal of emotional overload, the user performs an explicit reset act (a stated break, grounding step, or re-centering prompt) and the next user turn indicates re-orientation toward their own needs or priorities. The overload, reset, re-orientation sequence is the unit counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post momentary affect-load self-report (single-item 1-7 'how overwhelmed do you feel') bracketing the reset act; effect quantified as the within-user drop in load. Coders verify an explicit reset act occurred, with agreement would be assessed via Cohen's kappa. Could be reported as mean load reduction per reset and reset-completion rate.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1064.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1043.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html

Habitual Daily Integration
type: DefinedTerm
description: A habitual, recurring division of labor in which a user routinely incorporates an AI system into everyday tasks, such that the pairing becomes a settled part of the daily workflow rather than an occasional consultation.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1067
alternate name: Daily Duo
alternate name: Tages-Duo
language: en
about: humor-affect
operational definition: Graded condition rated from a user's interaction history over a fixed reference period (e.g., 14 days): the proportion of days on which the user initiates at least one AI-assisted task within a defined routine slot. Higher proportions indicate a more established daily pairing.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioral-log metric: days-with-AI-session divided by total-days over a 14-day window, optionally cross-validated against a short habit-strength self-report.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1067.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1060.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1053.html

Calm Shift
type: DefinedTerm
description: A discrete, user-recognized transition during an AI-assisted session from an agitated, problem-focused mode into a calmer, more reflective one, marked at the point where the interaction's tone and pace visibly shift.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1015
alternate name: Ruhe-Wechsel
language: en
about: humor-affect
operational definition: One occurrence would be coded when a rater (or the user, in real time) marks the turn boundary at which the interaction changes from rapid problem-pushing to slower, reflective exchange (e.g., a shift to summarizing, reframing, or step-back questions). The marked turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater-coded transition tagging on session transcripts by two independent coders; inter-rater agreement could be reported as Cohen's kappa; result expressed as the count of marked transitions per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1015.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1033.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1016.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1008.html
inclusion criteria: Pre- and post-windows each containing >= 6 valid experience-sampling probes.
exclusion criteria: Participants engaging in unrelated demanding task during post-window.

Felt-Coherence State
type: DefinedTerm
description: A self-reported moment of strong felt coherence during interaction, in which prior internal tension eases and the user reports a sense of things fitting together. The construct refers to the user's subjective state, not to any property of the AI.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1018
alternate name: Harmony Hug
alternate name: Harmonie-Umarmung
language: en
about: humor-affect
operational definition: Graded condition: immediately after a target exchange, the user rates the degree to which they experienced reduced tension and an increased sense of coherence. It is an anchored single-administration rating tied to a specific exchange, not a counted discrete event.
measurement schema: Proposed measurement protocol (not yet empirically validated): Post-exchange self-report on two 1-7 Likert items (tension release; felt coherence), optionally paired with a brief calmness self-report for convergent validity.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1018.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html

Momentary Optimism Appraisal
type: DefinedTerm
description: A transient elevated-affect appraisal during interaction in which the user weighs perceived possibilities as larger than perceived risks. It denotes the user's momentary optimistic stance toward options surfaced in the exchange.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1023
alternate name: Excitement Bubble
alternate name: Begeisterungs-Blase
language: en
about: humor-affect
operational definition: Graded condition rated for a defined exchange: the user, or a coder using verbal markers, rates perceived-opportunity salience relative to perceived-risk salience. It is operationalized as a balance rating rather than a binary occurrence.
measurement schema: Proposed measurement protocol (not yet empirically validated): Self-report bipolar 1-7 rating (risk-focused to opportunity-focused) for the target exchange; optionally, transcript coding of opportunity- versus risk-laden statements with a ratio reported.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1066.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1069.html

Positive Pivot
type: DefinedTerm
description: A reformulation move in which a stated problem is recast into one or more actionable options. It denotes the observable act of converting a problem framing into a choice set within the dialogue.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1042
alternate name: Positiver Drehpunkt
language: en
about: humor-affect
operational definition: One occurrence would be coded when a turn contains an explicit recasting of a previously stated problem into discrete actionable options (a problem statement in an earlier turn followed by an option-set framing in a later turn). The reformulating turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Transcript coding by two raters using a problem-to-options rubric; reliability via Cohen's kappa; result could be reported as a count per N=10 turns.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1042.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1009.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1064.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html

No-Stress Swap
type: DefinedTerm
description: An act of replacing an overwhelming task specification with a more realistic, smaller-scope alternative during an AI-assisted exchange, observable as a deliberate substitution of the task under discussion.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1066
alternate name: Stress-Tausch
language: en
about: humor-affect
operational definition: One occurrence would be coded when a turn replaces a previously requested task with an explicitly narrower or more feasible task (original scope stated earlier, substituted reduced scope adopted in a later turn). The substitution turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of scope-reduction substitutions on transcripts by two coders; agreement would be assessed via Cohen's kappa; result could be reported as the count of substitution events per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1066.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1034.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1041.html

Gratitude Turn
type: DefinedTerm
description: A turn in which a user's framing shifts from focusing on what is lacking to acknowledging what is valued, observable as an explicit appreciation statement within the dialogue.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1061
alternate name: Dankbarkeits-Dreh
language: en
about: humor-affect
operational definition: One occurrence would be coded when a user turn contains an explicit appreciation or gratitude statement that reframes a prior deficit-focused statement. The appreciation-containing turn is the unit of count.
measurement schema: Proposed measurement protocol (not yet empirically validated): Transcript coding for gratitude-reframing utterances by two raters; reliability via Cohen's kappa; could be reported as a count per session, optionally validated against a short gratitude self-report at participant level.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1061.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1050.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1030.html

Divergent Ideation Burst
type: DefinedTerm
description: A bounded divergent-generation episode in which the dialogue deliberately prioritizes quantity of ideas over quality, with selection and evaluation deferred to a later phase. It denotes an ideation burst rather than an evaluative exchange.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1006
alternate name: Idea Rain
alternate name: Ideen-Regen
language: en
about: humor-affect
operational definition: One episode would be coded when a contiguous stretch of turns is led by idea enumeration without evaluation (operationally, a run of turns in which candidate ideas accumulate and no selection or critique turn intervenes). The episode boundaries are the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Transcript segmentation into ideation episodes by two coders (kappa for boundary agreement), plus an objective idea-count throughput (distinct candidate ideas per minute) within each episode.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1006.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1050.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1042.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1033.html

Relaxation Edit
type: DefinedTerm
description: A revision act applied to a text or message with the explicit aim of lowering its perceived pressure, harshness, or demand level while preserving its informational content.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1014
alternate name: Entspannungs-Überarbeitung
language: en
about: humor-affect
operational definition: One occurrence would be coded when a turn produces a revised version of prior text whose evident purpose is tone-softening (reduction of imperative, severity, or demand markers) without changing the underlying request. The revision turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post rater rating of revised texts on a 1-7 harshness-and-demand scale (paired comparison) with two raters and ICC for agreement; result could be reported as the mean harshness reduction per edit.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1014.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1047.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1053.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
inclusion criteria: Explicit soften / relax / tone-down request AND NEO-PI-R Neuroticism facet completed.
exclusion criteria: Edits requested in third-person context (editing someone else's text).

Deliberate Slow Restart
type: DefinedTerm
description: A deliberate restart move in which a conversation or reasoning thread is returned to an earlier point to be re-begun more slowly and explicitly, observable as an intentional back-up and re-entry in the dialogue.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1019
alternate name: Calm Rewind
alternate name: Ruhiger Rücklauf
language: en
about: humor-affect
operational definition: One occurrence would be coded when a turn explicitly references an earlier state of the exchange and re-initiates from there with a slower or more explicit framing (for example, proposing to go back and proceed step by step). The re-initiating turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of restart and back-up moves on transcripts by two coders; agreement would be assessed via Cohen's kappa; result could be reported as the count of restart events per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1019.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1002.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1062.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1047.html

Calm Reset
type: DefinedTerm
description: A brief pause and re-centering taken after an intense stretch of AI-assisted work, allowing attention to recover before the next task. It denotes a short, in-rhythm micro-break distinct from extended rest.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1043
alternate name: Ruhe-Reset
language: en
about: humor-affect
operational definition: One occurrence would be coded when an interaction gap of a defined short duration (e.g., 1 to 10 minutes) follows an intensive task block and precedes resumption, identifiable from session timestamps as a deliberate within-session pause.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioral-log timing: detection of short inter-task gaps (1 to 10 minutes) from session timestamps; count of such micro-breaks per work block, optionally annotated by the user as intentional versus incidental.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1043.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1057.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1002.html
inclusion criteria: Identifiable stress-event AND all three Affect-Grid administrations completed.
exclusion criteria: Participants who report concurrent pharmacological mood-regulation.

Goal-Match Acknowledgment
type: DefinedTerm
description: A point in an exchange at which the user registers shared satisfaction because the delivered output, the original intention, and the result align. It denotes a user-marked success acknowledgment within the dialogue.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1055
alternate name: High-Five Moment
alternate name: High-Five-Moment
language: en
about: humor-affect
operational definition: One occurrence would be coded when a user turn explicitly acknowledges that the output matched the intended goal (an alignment or approval statement immediately following a delivered result). The acknowledging turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of explicit success-acknowledgment turns following deliverables, by two coders, with Cohen's kappa; could be reported as a count per session, optionally with a convergent single-item satisfaction rating (1-7) at the acknowledgment point.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1055.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1066.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1008.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1037.html

Aesthetic-Formulation Pleasure
type: DefinedTerm
description: A brief, low-intensity pleasure a user reports when an AI produces a notably elegant, apt, or aesthetically pleasing formulation. The construct refers to the user's momentary aesthetic-appreciation state, not to any emotion of the system.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0368
language: en
about: compendium
operational definition: Graded condition: immediately after a flagged output, the user rates the intensity of aesthetic pleasure experienced with that formulation. It is tied to a specific output and rated, rather than counted as a discrete behavioral event.
measurement schema: Proposed measurement protocol (not yet empirically validated): Single-item post-output aesthetic-pleasure rating (1-7), optionally combined with items from an aesthetic-experience scale for convergent validity; aggregated as the mean rating across flagged elegant outputs.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0368.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0016.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0999.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
inclusion criteria: FACS AU6+AU12 within 5s of AI-utterance plus verbal participant confirmation that phrasing was the trigger.
exclusion criteria: Smiles attributable to content-humour rather than phrasing or syntactic structure.
alternate name: The Syntax Smile

Gesture Language
type: DefinedTerm
description: The overall modality by which humans communicate with embodied AI systems through gestures, including hand signals, posture, and movement that the system detects and interprets. It names a communication channel rather than a single bounded event.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0918
language: en
about: compendium
operational definition: Superordinate framework term; not operationalized as a per-interaction event. Specific measurable sub-constructs (for example, gesture-recognition accuracy or repair rate) would be operationalized individually.
measurement schema: Proposed measurement protocol (not yet empirically validated): Not directly measured as a single instrument; superordinate modality term. Component studies may report gesture-recognition accuracy or interpretation error rates, but the channel itself is not one measured construct.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0918.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0194.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
inclusion criteria: Video-recorded session with at least 20 codable gesture events.
exclusion criteria: Sessions where gestures are confined to keyboard or device-input only.
alternate name: The Gesture Language

Vigilance Rhythm
type: DefinedTerm
description: A paced verification practice in which a user checks AI output at deliberate intervals rather than monitoring continuously, on the premise that spaced focused review sustains attention quality better than unbroken vigilance across long interactions.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0975
language: en
about: compendium
alternate name: The Vigilance Rhythm
alternate name: Der Aufmerksamkeits-Rhythmus
operational definition: Graded condition characterizing how a user's verification activity is distributed over a session: the regularity and spacing of explicit verification acts. It is operationalized as the cadence or dispersion of verification events rather than as a single occurrence.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioral-log analysis of verification-act timestamps within a session: the inter-check interval distribution (mean and coefficient of variation) could be reported as a cadence index, optionally paired with sustained-attention performance over time.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0975.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0092.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0001.html
inclusion criteria: At least 30 sessions to support 10 or more blocks.
exclusion criteria: Participants with monotonic increase or decrease in verification (no rhythm).

Brief Activating Prompt
type: DefinedTerm
description: A very short, precise prompt that produces an immediate effect on the user's motivation, focus, or readiness to decide, providing starting impetus rather than substantive depth.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1002
alternate name: Quick Kick
alternate name: Quick-Kick
language: en
about: humor-affect
operational definition: One occurrence would be coded when a user-issued prompt below a defined length threshold (e.g., 12 words or fewer) is followed by a self-reported or behaviorally evident activation effect, such as task resumption within a short window. The short prompt is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioral-log join of prompt length (word or token count) to a post-prompt single-item activation rating (1-7) or to time-to-next-task-action latency; reported per qualifying short prompt.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1002.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1027.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1011.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1035.html
inclusion criteria: Interaction duration < 90 seconds AND mood-lift VAS administered post-interaction.
exclusion criteria: Sessions with multiple interactions within the 60-second post-window.

Tone-Appropriateness Query
type: DefinedTerm
description: A brief meta-query that probes the emotional, social, or cultural fit of an output, separate from its factual content. It denotes an explicit request to appraise tone or appropriateness rather than correctness.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1008
alternate name: Vibe Check
alternate name: Vibe-Check
language: en
about: humor-affect
operational definition: One occurrence would be coded when a user turn explicitly requests an appraisal of an output's tone or its social or cultural appropriateness, as opposed to its factual accuracy. The appraisal-requesting turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding distinguishing fit and appropriateness queries from content and accuracy queries on transcripts, by two coders, with Cohen's kappa; could be reported as the count of fit-queries per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1008.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1060.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html

Optional Creative Prompt
type: DefinedTerm
description: A light creative prompt or suggestion offered without any obligation to act on it, functioning as an optional spark rather than a directive within the exchange.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1028
alternate name: Inspiration Breeze
alternate name: Inspirations-Hauch
language: en
about: humor-affect
operational definition: One occurrence would be coded when an AI turn offers a creative suggestion explicitly framed as optional or non-binding, with no implied requirement to implement it. The optional-suggestion turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of optional versus directive creative suggestions on transcripts, by two coders, with Cohen's kappa; could be reported as the count of optional creative prompts per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1028.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1041.html

Mid-Task Micro-Correction
type: DefinedTerm
description: A brief, precise intervention that brings an output back on course without interrupting the overall working flow, observable as a short steering correction inserted mid-task.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1031
alternate name: Correction Kick
alternate name: Korrektur-Kick
language: en
about: humor-affect
operational definition: One occurrence would be coded when a user turn issues a short corrective instruction that adjusts the output's direction and is immediately followed by continued task progress, with no full restart. The corrective turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of short mid-task corrections (distinguished from restarts and abandonments) on transcripts, by two coders, with Cohen's kappa; result could be reported as a count per N=10 turns.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1031.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1055.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html

Low-Friction Interaction
type: DefinedTerm
description: A condition of low-friction collaboration in which an AI-assisted task proceeds with few corrections, clarifications, or breakdowns. It denotes a graded smoothness of the working exchange rather than a single moment.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1069
alternate name: Smooth Sail
alternate name: Ruhige Fahrt
language: en
about: humor-affect
operational definition: Graded condition over a task or session, inversely indexed by the rate of repair turns (corrections, clarification requests, restarts). Lower repair rates indicate a smoother condition; it is rated or computed across the segment, not counted as one event.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioral metric: repair-turn rate equal to (corrections plus clarification requests plus restarts) divided by total turns over the segment, optionally complemented by a post-task 1-7 perceived-smoothness self-report.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1069.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1026.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html

Specific Gratitude Reference
type: DefinedTerm
description: A single, concrete point of focus that makes gratitude specific and tangible, observable as one explicitly named object of appreciation within the exchange.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1060
alternate name: Gratitude Drop
alternate name: Dankbarkeits-Tropfen
language: en
about: humor-affect
operational definition: One occurrence would be coded when a turn names a single concrete object of gratitude, that is, one specific item rather than a general expression of thanks. The turn naming the specific focus is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding distinguishing specific, concrete gratitude foci from generic thanks on transcripts, by two coders, with Cohen's kappa; could be reported as the count of concrete gratitude foci per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1060.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1007.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1026.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1040.html

Collaborative Phrasing Refinement
type: DefinedTerm
description: A collaborative, iterative search for the single formulation that precisely fits meaning, tone, and context, defined by repeated refinement of candidate wordings until convergence on one expression.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1003
alternate name: Word Hunt
alternate name: Wort-Jagd
language: en
about: humor-affect
operational definition: One episode would be coded when a contiguous run of turns iteratively refines a target phrasing (two or more successive candidate reformulations aimed at the same expression slot) before settling. The refinement run is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Transcript segmentation of phrasing-refinement episodes by two coders (kappa for boundary agreement); within each episode, the count of candidate reformulations until convergence could be reported as iteration depth.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1050.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1047.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
inclusion criteria: At least 30 hunted-words AND completed working-memory assessment at both timepoints.
exclusion criteria: Participants whose hunt-targets duplicate existing vocabulary in baseline assessment.

Relaxation Breath
type: DefinedTerm
description: A brief AI-guided breathing or attention exercise intended to lower stress or ease a transition between cognitive states, observable as a discrete guided micro-intervention within the session.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1011
alternate name: Entspannungs-Atem
language: en
about: humor-affect
operational definition: One occurrence would be coded when an AI turn delivers a structured short breathing or attention-direction instruction (a guided exercise prompt) within the interaction. The guidance turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of guided breathing and attention-exercise turns on transcripts (count per session), with agreement would be assessed via Cohen's kappa; optionally a pre/post single-item stress rating (1-7) to index the effect.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1011.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1016.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1066.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1013.html
inclusion criteria: Concurrent respiratory and ECG recording for RSA computation across pre/post windows.
exclusion criteria: Participants with documented respiratory disease.

Supportive Warmth Style
type: DefinedTerm
description: An emotionally supportive interaction style that conveys safety, belonging, and acceptance without forcing problem-solving. It denotes a graded stylistic quality of the exchange as perceived by the user.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1013
alternate name: Feel-Good Warm
alternate name: Wohlfühl-Wärme
language: en
about: humor-affect
operational definition: Graded condition: raters or the user rate the degree to which an exchange conveys warmth, acceptance, and non-pressuring support, on a defined scale across the segment. It is rated as an intensity, not counted as a discrete event.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of supportive and warmth style on a 1-5 anchored scale (two raters, ICC for agreement), optionally complemented by a user-perceived-warmth self-report (1-7) per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1013.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1030.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1011.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1038.html
inclusion criteria: All three post-interaction warm-affect probes completed AND Schwartz Values Survey within 30 days.
exclusion criteria: Participants reporting concurrent mood-altering substances within the warmth-window.

Gentle Layer
type: DefinedTerm
description: An added emotional or linguistic layer that buffers harshness and makes communication more tolerable without distorting the underlying content. It denotes a graded softening property of a message relative to its plain form.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1017
alternate name: Sanfte Schicht
language: en
about: humor-affect
operational definition: Graded condition assessed per message: the degree of tone-buffering present relative to a neutral baseline, while content equivalence is held constant. It is rated as buffering intensity with a content-preservation check, not counted as an event.
measurement schema: Proposed measurement protocol (not yet empirically validated): Paired rater rating of harshness or softening on a 1-7 scale (two raters, ICC), plus a separate content-equivalence verification step checking that the buffered version preserves the information; could be reported as a softening delta with content held constant.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1030.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1008.html
inclusion criteria: Output-text >= 200 words with identifiable critical content AND tolerance-of-ambiguity completed.
exclusion criteria: Outputs explicitly requested in blunt-mode by user.

Gentle Nudge
type: DefinedTerm
description: A minimal reminder or correction that provides orientation without exerting pressure, observable as a brief, low-intensity prompt that redirects without using demand language.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1035
alternate name: Sanfter Schubs
language: en
about: humor-affect
operational definition: One occurrence would be coded when a turn issues a short reminder or correction that lacks imperative or pressure markers and offers light redirection (a low-intensity steering cue). The low-pressure cue turn is the unit.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of low-pressure reminder and correction turns, scored for the absence of demand markers, on transcripts, by two coders, with Cohen's kappa; could be reported as a count per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1035.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1038.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1051.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html

Error Normalization Stance
type: DefinedTerm
description: A user's working stance toward errors in which mistakes are treated as ordinary, expected by-products of productive work rather than as non-successes, lowering the threshold for surfacing and correcting them during AI-assisted tasks.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1036
alternate name: Mistake Friend
alternate name: Fehler-Freund
language: en
about: humor-affect
operational definition: STATE. The user's error-orientation during a task block is rated on whether errors are surfaced without avoidance and treated as routine: rated on a graded scale from defensive/error-avoidant to matter-of-fact/error-tolerant, anchored to observable handling of the session's mistakes (e.g., openly naming an error and continuing vs. concealing or abandoning).
measurement schema: Proposed measurement protocol (not yet empirically validated): A short error-tolerance self-report administered post-session (items covering learning-from-errors and error-competence, positively keyed, together with error-strain and covering-up-errors, reverse keyed), on a 7-point Likert format; could be reported as a composite error-tolerance score with internal consistency (Cronbach's alpha).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1036.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1058.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1010.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1055.html

Low-Friction Topic Re-Entry
type: DefinedTerm
description: A discrete resumption in which a user returns to a previously interrupted or misunderstood topic without visible tension or self-reproach, picking the thread back up smoothly within an AI dialogue.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1038
alternate name: Chill Comeback
alternate name: Entspanntes Zurückkommen
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when, after an interruption or a flagged misunderstanding, the user re-opens the same topic in a later turn and the re-entry turn contains no markers of frustration or blame (no self-criticism, no complaint about the prior break). The re-entry turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of transcript turns: two trained coders flag topic re-entries and judge presence/absence of tension markers; inter-rater reliability via Cohen's kappa; could be reported as count of low-tension re-entries per session.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1038.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1041.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1040.html

Adaptive Continuity
type: DefinedTerm
description: A graded condition in which a user incorporates adjustments, corrections, or scope changes during a task while sustaining task momentum, so that revisions do not break the ongoing work rhythm of an AI-assisted session.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1041
alternate name: Flex Flow
alternate name: Flexibler Flow
language: en
about: humor-affect
operational definition: STATE. Rated as the degree to which adjustments are absorbed without loss of momentum across a task block: scored from low (each change causes a stall or restart) to high (changes are integrated with continuous progress), anchored to observable indicators such as continued forward task moves immediately after a correction.
measurement schema: Proposed measurement protocol (not yet empirically validated): Behavioral process metric: from session logs, compute median post-adjustment resumption latency (seconds from a correction/scope-change to the next on-task action) and the proportion of adjustments followed by continued progress without restart; could be reported as a continuous index, not a count.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1041.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1043.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html

Drift Fix
type: DefinedTerm
description: A deliberate corrective move in which a user redirects a conversation that has wandered off back toward its core goal, re-anchoring the exchange to the original task within an AI dialogue.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1045
alternate name: Abdrift-Korrektur
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a user turn explicitly references the original goal or task after the immediately preceding turns have moved onto a side topic, and reorients the exchange back to it (e.g., 'let's get back to X'). The redirecting turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding with a topic-tracking scheme: coders mark off-topic drift segments and the user turn that closes them; count redirect events per session and report drift-segment duration before each redirect; inter-rater agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1045.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html

Post-Failure Affect Recovery
type: DefinedTerm
description: A rapid affective recovery in which a user's negative reaction following a unsuccessful attempt subsides quickly and the user re-engages with the task within an AI-assisted session.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1047
alternate name: Bounce Back
alternate name: Zurückfedern
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a turn expressing negative affect after a unsuccessful attempt is followed within a short window (e.g., the next 1-2 user turns) by a turn showing neutral or positive affect and renewed task engagement. The recovery turn is the countable marker; recovery time (turns or seconds) is recorded.
measurement schema: Proposed measurement protocol (not yet empirically validated): Affect-trajectory coding: trained coders rate per-turn affect valence (negative/neutral/positive) around failure events; recovery would be operationalised as return to non-negative valence; report median recovery latency and event count; inter-rater reliability via weighted Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1047.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1006.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1040.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html

Brief Positive-Affect Lift
type: DefinedTerm
description: A brief mood lift produced by an AI exchange that raises a user's momentary positive affect without causing distraction or exaggerated elation, leaving task focus intact.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1053
alternate name: Smile Boost
alternate name: Lächel-Boost
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a short within-session rise in self-reported or observably expressed positive affect follows a specific AI turn, and the following turns show no drop in on-task behavior. The affect-rise tied to that turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Momentary affect probe: single-item positive-affect rating (0-100 visual analog scale) sampled immediately before and after the triggering exchange; the pre-post difference indexes the lift; aggregated as mean within-person change with a paired test, paired with a task-focus check (on-task action present in the next turn).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1053.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1069.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1066.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html

Disproportionate Small Utility
type: DefinedTerm
description: A small, everyday AI intervention whose practical usefulness is disproportionately large relative to the minimal effort or input it required, observed in routine tasks.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1056
alternate name: Mini Magic
alternate name: Mini-Magie
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a low-effort request (short prompt, single turn) yields an output the user marks as highly useful or time-saving, producing a high benefit-to-effort contrast for that exchange. The user's usefulness acknowledgement on a low-effort turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Benefit-to-effort rating per flagged exchange: user rates perceived usefulness (1-7) and input effort (1-7); the event is indexed by a high-usefulness/low-effort combination; report the proportion of low-effort exchanges rated highly useful, with optional time-saved estimate in minutes.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1056.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1038.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1011.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1010.html

Unobtrusive Assistance Mode
type: DefinedTerm
description: A graded mode of AI use in which the system functions as an unobtrusive support to the user's work rhythm, contributing when prompted without overriding or steering the activity.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1057
alternate name: Flow Friend
alternate name: Flow-Freund
language: en
about: humor-affect
operational definition: STATE. Rated across a session as the degree of unobtrusiveness: scored from intrusive (AI introduces unrequested redirections that interrupt the user's flow) to unobtrusive (AI contributions stay within the user's initiative), anchored to the ratio of user-initiated to AI-initiated topic shifts.
measurement schema: Proposed measurement protocol (not yet empirically validated): Initiative-balance index from transcript coding: count user-initiated vs. AI-initiated topic shifts and unsolicited redirections; report AI-initiation share (AI-initiated / total shifts) as a continuous unobtrusiveness index; inter-rater agreement would be assessed via Cohen's kappa on the initiation labels.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1057.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1016.html

Sufficiency Acceptance State
type: DefinedTerm
description: A stable condition of inner calm during or after AI-assisted work in which the user experiences no pressure to further optimize, accepting the current result as sufficient.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1063
alternate name: Contentment Zone
alternate name: Zufriedenheits-Zone
language: en
about: humor-affect
operational definition: STATE. Rated as the level of felt calm and absence of optimization pressure over a defined period: scored on a graded scale from high optimization pressure (continued reworking, dissatisfaction) to settled sufficiency (work accepted as good enough), based on self-report and observable cessation of further reworking.
measurement schema: Proposed measurement protocol (not yet empirically validated): A brief calmness/arousal self-report: a short calmness/low-tension subscale covering the calm-tense (low-arousal) dimension (calm-vs-tense items, reverse-scored for calm); 5-point Likert, administered immediately after the work block; could be reported as a mean state-calm score with internal consistency (Cronbach's alpha).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1063.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1068.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1032.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html

End-of-Day Positive Closure
type: DefinedTerm
description: A positive emotional closure at the end of a work day, supported by an AI exchange, that rounds off the day's activity and helps the user consolidate or integrate what was done.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1068
alternate name: End-of-Day High
alternate name: Tagesabschluss-Hoch
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when an end-of-day session concludes with a user-expressed sense of completion or positive closure and an explicit recap/integration of the day's work. The closing turn containing both positive closure and recap is the countable marker (at most one per day).
measurement schema: Proposed measurement protocol (not yet empirically validated): End-of-day diary entry: single daily item rating sense of positive closure (1-7) plus a checkbox for whether the session included a recap/integration; aggregated across days as the proportion of days with positive closure and mean closure rating; suitable for multilevel analysis over a diary window.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1068.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1003.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1069.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1049.html

Reset Noise
type: DefinedTerm
description: A deliberate injection of unstructured or disordered input intended to break out of an entrenched line of thinking; structure is reintroduced only in a subsequent step after the fixation is loosened.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1009
alternate name: Reset-Rauschen
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a user intentionally supplies deliberately unstructured input (free association, scattered fragments, randomized prompts) explicitly to escape a stuck line of reasoning, followed in a later turn by a move to re-impose structure. The intentional unstructured-input turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of prompt structure: coders classify user turns as structured vs. deliberately unstructured and mark stated de-fixation intent and a later restructuring turn; count qualifying sequences per session; inter-rater agreement would be assessed via Cohen's kappa on the structure labels.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1009.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1031.html

Activation Impulse
type: DefinedTerm
description: An activating impulse from an AI exchange that releases energy for action without overwhelming the user; it is brief, clear, and oriented toward taking the next step.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1020
alternate name: Motivation Fire
alternate name: Motivations-Feuer
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a short AI turn is followed within the next 1-2 user turns by an observable initiation of action (the user starts or commits to a concrete next step) together with self-reported readiness to act, and no markers of overwhelm. The action-initiation following the impulse is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post readiness probe plus behavioral follow-through: single-item action-readiness rating (1-7) before and after the impulse, combined with a log check for whether a concrete next step was initiated within the following turns; report mean readiness change and follow-through rate.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1020.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1025.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1064.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1057.html

Deliberate Restart
type: DefinedTerm
description: A clear restart undertaken when a user's thinking or the dialogue has become tangled, in which the user breaks off the snarled line and re-opens the task from a fresh starting point.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1033
alternate name: Reset Ruck
alternate name: Reset-Ruck
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when, following turns showing confusion or a tangled exchange (repair attempts, contradictions, circularity), a user turn explicitly abandons the current line and restarts (e.g., 'let's start over'). The explicit restart turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of restart events: coders flag preceding tangle indicators and the explicit restart turn that resets the task; count restarts per session and record the length of the tangled stretch preceding each; inter-rater agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1033.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1010.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1036.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html

Morning Orientation Routine
type: DefinedTerm
description: A structuring, positive start to the day created by a short AI interaction that helps a user organize and orient the day's tasks at its outset.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1065
alternate name: Morning Magic
alternate name: Morgen-Magie
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a brief AI session early in the user's day produces an explicit plan or ordered task list for that day and the user reports a positive, organized start. The morning planning turn that yields an ordered day-structure is the countable marker (at most one per day).
measurement schema: Proposed measurement protocol (not yet empirically validated): Morning diary entry: daily items for whether the session produced a concrete day-plan (checkbox) and a 1-7 rating of feeling organized/positively oriented at the start; aggregated across days as proportion of structured mornings and mean orientation rating over the diary window.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1035.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1009.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1024.html

Conversational Afterimage
type: DefinedTerm
description: The aftereffect of an intensive AI session in which a user later carries over formulations, thinking structures, or argumentation patterns from the dialogue into their everyday communication, often without awareness of the source.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0204
language: en
about: compendium
operational definition: EVENT. One occurrence is coded when a distinctive formulation, frame, or argument structure introduced during an AI session reappears in the same user's later, non-AI communication (speech or writing) within a defined follow-up window. The matched carry-over instance in post-session communication is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Matched-feature transfer coding: build a per-session lexicon/structure list of distinctive AI-introduced features, then have raters scan later user-authored samples for matches; count carry-over instances per follow-up window; inter-rater agreement would be assessed via Cohen's kappa on match judgments.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0001.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0565.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0330.html
inclusion criteria: Idle interval between 12 and 72 hours with both prior conversation and subsequent solo task available.
exclusion criteria: Solo tasks where participant explicitly re-reads prior conversation during the task.
alternate name: The Conversational Afterimage

Indexical Memory
type: DefinedTerm
description: A longitudinal shift of the remembering function from retaining content itself toward retaining where and how the content can be retrieved through AI, reflecting a change in how a person manages personal knowledge under sustained AI use.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0045
language: en
about: compendium
operational definition: TREND. Tracked over repeated measurements as the change in the balance between content recall and retrieval-path recall: at each timepoint, record the share of queried items for which the person recalls the substantive content versus only the location/route to retrieve it; the trend is the change in that share across the observation window.
measurement schema: Proposed measurement protocol (not yet empirically validated): Repeated cued-recall protocol: at multiple timepoints, probe a fixed item set and classify each response as content-recall vs. location/route-recall; track the location-recall proportion over time as the longitudinal index; report the trajectory (e.g., slope across sessions) rather than a single-session count.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0045.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0918.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
inclusion criteria: At least 10 deictic markers per session with verifiable transcript anchors.
exclusion criteria: Deictic uses lacking identifiable referent in the transcript.

Capability-Limit Encounter
type: DefinedTerm
description: The moment a user encounters the limits of an AI system: the system cannot solve the task, returns incorrect information, or exposes a comprehension boundary, giving the user direct evidence of what the system cannot do.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0345
language: en
about: compendium
operational definition: EVENT. One occurrence is coded when, within an exchange, the AI fails on the user's request in an observable way (explicit inability, a detectable error, or a stated comprehension limit) and the user registers this limit in a subsequent turn. The user's recognition turn following the AI limit is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Failure-event rater coding: coders annotate AI-limit events (refusal/inability, factual error, comprehension limit) and the user turn that registers them; count limit-recognition events per session and categorize by limit type; inter-rater agreement would be assessed via Cohen's kappa on event type.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0345.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0918.html
inclusion criteria: Pre-check and post-check feasibility ratings both completed.
exclusion criteria: Sessions without an identifiable constraint-enumeration phase.
alternate name: The Capability-Limit Encounter
alternate name: The Wall Check

Sudden Comprehension Event
type: DefinedTerm
description: An abrupt transition from diffuse uncertainty to a clearly structured mental representation, frequently prompted by a precise restatement of the user's own thoughts by the AI.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1007
alternate name: Clarity Click
alternate name: Klarheits-Klick
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a user turn marks a sudden gain in clarity (e.g., an explicit 'now it makes sense' / 'that's exactly it') in the turn immediately following an AI restatement or reframing of the user's input. The user's clarity-acknowledgement turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Cued retrospective rating plus marker coding: raters flag clarity-acknowledgement turns following an AI reframing (inter-rater agreement would be assessed via Cohen's kappa), and the user gives a single-item insight-suddenness rating (1-7) for flagged moments; report event count per session and mean suddenness.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1007.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1027.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1012.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1009.html
inclusion criteria: Click-marker AND WCST administered within 30 minutes of session.
exclusion criteria: Click claims without downstream understanding-demonstration.

Relaxed Return
type: DefinedTerm
description: A gentle re-connection to a topic after overload, distraction, or a break, in which the user resumes work without self-blame or pressure, easing back into the task.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1016
alternate name: Entspannter Rückweg
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when, after a gap caused by overload/distraction/abandonment, the user re-engages the prior topic in a measured, low-pressure way, and the re-entry turn contains no self-blame or urgency markers. The gentle re-entry turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of resumptions with a pressure-marker checklist: coders flag topic resumptions after gaps and score self-blame/urgency markers (absent = relaxed); count low-pressure resumptions per session and record gap length; inter-rater agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1016.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1019.html

Low-Pressure Encouragement
type: DefinedTerm
description: A small, friendly affirmation from the AI that the user reports as a brief lift in energy or motivation, without creating performance pressure or implying an obligation to perform.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1021
alternate name: Energy Kiss
alternate name: Energie-Kuss
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a brief affirmative AI turn is followed by a user-reported small rise in energy/motivation, with no accompanying increase in felt performance pressure. The reported energy rise tied to the affirmation is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Paired single-item probes around the affirmation: user rates momentary energy/vigor (1-7) and felt performance pressure (1-7) before and after; the event requires an energy increase without a pressure increase; report the joint pre-post change pattern across instances.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1059.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1022.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1013.html

Optimism Opener
type: DefinedTerm
description: A reframing that shifts the user's perspective toward opportunities and possible courses of action without denying or minimizing the existing problems.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1024
alternate name: Optimismus-Öffner
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when, after an exchange, the user's framing of a situation shifts from problem-focused to opportunity/action-focused while still acknowledging the problem (problems are not denied). The user turn exhibiting the opportunity-oriented reframing is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post framing classification: raters code the user's stance on the focal issue before and after as problem-focused vs. opportunity/action-focused (with a check that problems remain acknowledged); the event is a problem->opportunity shift; report shift frequency and inter-rater agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1024.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1065.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html

Frustration-to-Openness Shift
type: DefinedTerm
description: A mental turn from frustration toward constructive openness, in which a user moves from a blocked, irritated stance to a receptive, solution-oriented one during an AI exchange.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1039
alternate name: Light Swing
alternate name: Licht-Schwenk
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a turn expressing frustration is followed within the same exchange by a turn showing constructive, open engagement (proposing or accepting a way forward). The transition into the constructive turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Stance-transition coding: raters label turns on a frustration-to-openness dimension and mark transitions from frustrated to constructively open; count qualifying transitions per session; inter-rater agreement would be assessed via Cohen's kappa on stance labels.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1039.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1027.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1014.html

Soft Landing
type: DefinedTerm
description: The scaling-down of overreaching ideas into realistic, implementable steps, in which an AI exchange helps a user convert an oversized aim into a feasible sequence of actions.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1048
alternate name: Sanfte Landung
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when an initially overscoped goal stated by the user is, after the exchange, reformulated by the user into a smaller set of concrete, feasible steps. The user turn presenting the down-scoped, actionable plan is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Scope-change coding: raters record the initial scope (e.g., number/size of claimed deliverables) and the post-exchange scope (concrete next steps), and judge whether the reformulation is more feasible; report the proportion of overscoped goals that are down-scoped and inter-rater agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1048.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1068.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1023.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1061.html

Tension-to-Ease Shift
type: DefinedTerm
description: A transition from tension to ease brought about by small positive cues in an AI exchange, in which the user's strained state gives way to a lighter, more relaxed one.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1049
alternate name: Grin Shift
alternate name: Grinsen-Wechsel
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when a turn showing tension or strain is followed, after a small positive cue from the AI, by a turn showing reduced strain and greater ease. The transition into the eased turn is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Tension-to-ease coding: raters rate per-turn strain/ease (e.g., tense vs. relaxed expression markers) and mark transitions from strained to eased following a positive cue; count transitions per session; inter-rater agreement would be assessed via weighted Cohen's kappa on the ordered strain ratings.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1049.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1017.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1021.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1053.html

Lightness Lift
type: DefinedTerm
description: The targeted reduction of a user's felt heaviness through linguistic or perspective-based relief, in which an AI exchange deliberately reframes or lightens the framing of a burdensome matter.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-1062
alternate name: Leichtigkeits-Lift
language: en
about: humor-affect
operational definition: EVENT. One occurrence is coded when an AI exchange applies a deliberate relief move (reframing, lightening language, perspective change) and the user subsequently reports reduced felt heaviness/burden about the focal matter. The user's reduced-burden report following the relief move is the countable marker.
measurement schema: Proposed measurement protocol (not yet empirically validated): Pre/post burden rating: user rates felt heaviness/burden about the focal matter (1-7) before and after the relief move; the event requires a meaningful decrease; report mean within-person burden reduction with a paired test, paired with rater identification of the relief move (kappa for the move classification).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1062.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-humor-affect
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1004.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1046.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1052.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1055.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1060.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-1044.html

Pattern Sharpening
type: DefinedTerm
description: A longitudinal effect in which regular AI interaction is associated with improvement in a user's ability to recognize patterns in data, texts, or arguments, such that sustained use coincides with gains in the person's own analytic pattern detection.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0089
language: en
about: compendium
operational definition: TREND. Tracked over repeated measurements as the change in pattern-recognition performance: administer a standardized pattern-detection task at multiple timepoints over an AI-use period and track the change in accuracy/speed across the window; the trend (improvement trajectory) is the referent, not a single in-session event.
measurement schema: Proposed measurement protocol (not yet empirically validated): Repeated standardized assessment: a validated pattern/inductive-reasoning instrument (e.g., matrix-reasoning or series-completion items) administered at baseline and follow-ups; track accuracy and response time over time; analyze the trajectory (e.g., slope) ideally against a comparison condition to support the association rather than infer causation.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0639.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0005.html
inclusion criteria: At least 8 successive pattern-articulations with measurable feature-variance decrease.
exclusion criteria: Sessions where the pattern is reframed mid-stream (topic-shift breaking the autocorrelation series).
alternate name: The Pattern Sharpening

Calibrated Trust
type: DefinedTerm
description: A graded user disposition in which the degree of acceptance granted to an AI output is scaled to its stakes: high-consequence outputs receive more independent verification, routine outputs receive proportionally lighter checking. Trust varies by context rather than being uniformly extended or withheld.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0422
language: en
about: compendium
alternate name: The Calibrated Trust
alternate name: Das Kalibrierte Vertrauen
operational definition: STATE. Two trained raters score, for each AI output a user acts upon, (a) the stakes of the output on a 3-point scale (low/medium/high consequence of error) and (b) the observed verification effort the user applied before acting (none / light cross-check / independent confirmation). Calibrated trust is operationalised as the rank-order alignment between stakes and verification effort across a session; higher alignment indicates greater calibration.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater-coded verification-effort vs. stakes alignment per acted-upon output; calibration quantified as the Goodman-Kruskal gamma rank correlation between the stakes scale and the effort scale within a participant. Inter-rater reliability for both coded dimensions could be reported as weighted Cohen's kappa on a held-out 20% double-coded subset; participant-level self-report supplement via a 5-point Likert item ('I checked this more carefully because it mattered more').
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0422.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0435.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0975.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
inclusion criteria: At least 50 trust-rated outputs with verifiable ground-truth.
exclusion criteria: Outputs lacking objective accuracy criterion.

Synthetic Spotting
type: DefinedTerm
description: A discrete user judgement that a given piece of content was produced by an AI system, inferred from stylistic regularities, characteristic phrasing, or content-level cues. The referent is the act of attribution, not the correctness of that attribution.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0614
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded each time a user explicitly attributes a presented artefact (text, image, or audio) to AI generation. The observable marker is a verbal or logged attribution judgement ('this is AI-generated'). When ground truth of the artefact is known, each judgement is scored hit / miss / false alarm / correct rejection.
measurement schema: Proposed measurement protocol (not yet empirically validated): Signal-detection task: participants classify a balanced stimulus set of AI-generated and human-authored artefacts. Sensitivity could be reported as d-prime and response bias as criterion c, computed from hit and false-alarm rates; per-stimulus confidence captured for an ROC curve. Accuracy contrasted against a 50% chance baseline with a binomial test.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0614.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0999.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0422.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0918.html
inclusion criteria: At least 50 items spanning at least 3 content-domains.
exclusion criteria: Items where stylistic AI-fingerprints are explicitly disclosed.
alternate name: The Synthetic Spotting

AI Abstention Zone
type: DefinedTerm
description: A deliberately maintained boundary - spatial, temporal, or topical - within which a person excludes AI assistance. The referent is a standing, self-imposed restriction on the scope of AI use rather than a one-off refusal.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0775
language: en
about: compendium
operational definition: STATE. Coded as present when a participant names at least one explicit, durable exclusion boundary and the conditions under which it applies (e.g. 'no AI during family meals', 'no AI for first-draft poetry', 'no AI in the bedroom'). Each declared boundary is catalogued by type (spatial / temporal / topical) and by stated scope; the state is graded by the count and breadth of maintained boundaries.
measurement schema: Proposed measurement protocol (not yet empirically validated): Structured boundary inventory: a semi-structured interview enumerates declared exclusion zones, each verified for durability via a one-week experience-sampling log of adherence (proportion of qualifying occasions on which AI was in fact withheld). Could be reported as number of zones, zone-type distribution, and mean adherence rate; coder agreement on zone-type classification via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0775.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0565.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0901.html
inclusion criteria: Explicit zone-declaration AND at least 50 observation-points spanning in-zone and out-of-zone contexts.
exclusion criteria: Zones declared but not observable in available logs.
alternate name: The AI Abstention Zone
alternate name: The KI-Free Zone

Narrative Divergence Prompt
type: DefinedTerm
description: A use episode in which a person enlists an AI system to generate unexpected narrative turns or alternative storylines for a creative or persuasive artefact such as a story, pitch, or argument. The referent is the request-and-use episode, not a property of the AI.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0260
language: en
about: compendium
operational definition: EVENT. One occurrence is logged when a user issues a request whose explicit aim is to obtain a divergent or unexpected continuation of an existing narrative or argument (e.g. 'give me a surprising twist', 'what is an unexpected counter-move'). The observable marker is a divergence-seeking instruction directed at narrative or argumentative material.
measurement schema: Proposed measurement protocol (not yet empirically validated): Task-log content coding: prompts in a creative-writing corpus are labelled for divergence-seeking intent by two raters; rate could be reported as divergence requests per 100 task turns. Downstream uptake measured as the proportion of AI-proposed twists incorporated into the user's subsequent draft (acceptance rate); coder reliability via Cohen's kappa on the intent label.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0260.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0001.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
inclusion criteria: Surprisal > 95th-percentile AI-turn followed by positive evaluation marker within 2 turns.
exclusion criteria: High-surprisal turns triggered by user topic-shift rather than AI-initiated reframing.
alternate name: The Narrative Divergence Prompt
alternate name: The Plot Twist Partner

Animal-Care Query
type: DefinedTerm
description: A use episode in which a person queries an AI system for information about animal care - feeding, behaviour, preventive health, or species-appropriate husbandry. The referent is a topically defined everyday information request.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0370
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user query is classified as seeking animal-care information, identified by topical markers (species terms together with care intents such as feeding, health signs, behaviour, or housing). Each qualifying query counts as one instance.
measurement schema: Proposed measurement protocol (not yet empirically validated): Query-topic classification: a held-out sample of user queries is labelled against an animal-care topic taxonomy by two annotators; prevalence could be reported as the proportion of queries in this topic class and as queries per active user per month. Annotation reliability via Cohen's kappa; optional automated classifier validated against the human labels (precision/recall, F1).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0370.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0345.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
inclusion criteria: At least 30 queries per participant within the observation window.
exclusion criteria: Single-instance queries with no recurrence.
alternate name: The Animal-Care Query
alternate name: The Pet Lookup

Workflow Reversion
type: DefinedTerm
description: A reversion episode in which a person returns to a previously used AI workflow after a newer alternative did not deliver the intended result. The referent is the act of reverting, reflecting that an established procedure outperformed a newer one for that task.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0430
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user, having adopted a newer tool, model, or procedure for a recurring task, switches back to an earlier one they had previously used for the same task. The observable marker is a documented workflow transition from a newer to an older procedure for an unchanged task type.
measurement schema: Proposed measurement protocol (not yet empirically validated): Workflow-version transition log: for a panel of users, tool/model/procedure choices per recurring task are timestamped, yielding a directed sequence of transitions. Reversions are counted as backward transitions to a prior procedure; could be reported as reversion rate per adopted change and median tenure of the new procedure before reversion (a median time-to-event, survival-style, analysis).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0194.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0918.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0520.html
inclusion criteria: Participant with at least 30 days of historical sessions available.
exclusion criteria: Edges based on common-phrase or boilerplate matches.
alternate name: The Workflow Reversion
alternate name: The Vintage Loop

Novel-Perspective Surfacing
type: DefinedTerm
description: A use episode in which an AI system surfaces a perspective on a familiar topic that the user reports not having considered before. The referent is the discovery event of a previously unconsidered viewpoint during interaction.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0534
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when (a) an AI output introduces a perspective absent from the user's prior framing of the topic and (b) the user acknowledges it as new to them. The observable markers are a rater-identified perspective shift in the output plus a user confirmation of novelty.
measurement schema: Proposed measurement protocol (not yet empirically validated): Two-source corroboration: trained raters code each output for introduction of a perspective not present in the preceding user turns (presence/absence), and users rate each flagged output on a 5-point novelty item ('this viewpoint had not occurred to me'). An instance requires both signals; could be reported as novel-perspective episodes per session. Rater reliability via Cohen's kappa; convergence of rater flag and user rating via phi coefficient.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0092.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0975.html
inclusion criteria: Sessions with serial perspective-listing across at least 5 timepoints.
exclusion criteria: Sessions where the AI provides angles unprompted without explicit user-acknowledgment.
alternate name: The Novel-Perspective Surfacing
alternate name: The Hidden Angle Finder

Duplicate Notice
type: DefinedTerm
description: A discrete recognition act in which a user identifies an AI response as substantively repeating an earlier response - reworded but identical in core content. The referent is the user's recognition of redundancy, not the redundancy itself.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0639
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user signals that a current response duplicates the substance of a prior one in the same conversation (e.g. an explicit complaint, a 'you already said this' turn, or a logged flag). The observable marker is a user-issued redundancy signal referring to an earlier turn.
measurement schema: Proposed measurement protocol (not yet empirically validated): Redundancy-flag detection corroborated by semantic similarity: user redundancy signals are extracted from transcripts; for each, the cosine similarity between the flagged response and the referenced earlier response would be computed from sentence embeddings to confirm genuine near-duplication above a calibrated threshold. Could be reported as redundancy notices per 100 turns and precision of user flags against the similarity criterion; human coding of flags reliability via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0639.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0005.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0220.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
inclusion criteria: Explicit duplicate-marker phrase AND identifiable referenced prior output.
exclusion criteria: Loose similarity claims without explicit prior-output reference.
alternate name: The Duplicate Notice

Role-Aware Input
type: DefinedTerm
description: A prompt in which the user frames the request through an explicit social role - for example 'as a parent I need...' or 'in my capacity as...'. The referent is the role-marked formulation of an individual input.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0675
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a prompt contains an explicit self-referential role marker that contextualises the request (a stated role noun phrase tied to the user, such as parent, teacher, manager, caregiver). The observable marker is the presence of such a role-framing clause in the prompt text.
measurement schema: Proposed measurement protocol (not yet empirically validated): Prompt-text annotation: a corpus of prompts would be coded for presence and type of explicit user-role markers by two annotators; prevalence could be reported as proportion of role-marked prompts and rate per 100 prompts, with a role-category distribution. Annotator agreement would be assessed via Cohen's kappa; optional regex/NER detector validated against human labels (precision/recall, F1).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0675.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0565.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0047.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0370.html
inclusion criteria: Participant uses at least 3 distinct AI-roles within the observation window.
exclusion criteria: Sessions where role-assignment is implicit only (no explicit role-string).
alternate name: The Role-Aware Input

Accent Persistence
type: DefinedTerm
description: The degree to which structural features of a user's first language - word order, punctuation conventions, and phrasing patterns - remain detectable in their written AI inputs composed in a second language. The referent is the relative strength of cross-linguistic transfer in writing.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0711
language: en
about: compendium
operational definition: RATIO. Quantified as the relative frequency of first-language-typical structural features in a user's second-language prompts compared with a same-language native-writer baseline. Numerator: count of L1-transfer features observed in the user's prompts (e.g. divergent word-order patterns, calqued collocations, L1 punctuation conventions); denominator: total scored constructions, normalised against the native-baseline feature rate.
measurement schema: Proposed measurement protocol (not yet empirically validated): Contrastive linguistic feature scoring: prompts are parsed and tagged for a predefined inventory of L1-transfer markers; a transfer index would be computed as the standardised difference between the user's marker rate and a matched native-writer corpus baseline. Could be reported as effect size (Cohen's d) of marker rate against baseline; classifier predicting writer L1 from prompt features evaluated by AUC. Tagging reliability via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0345.html
inclusion criteria: At least 5000 words of prior solo writing for stable stylometric baseline.
exclusion criteria: Participants who explicitly request style-imitation of a different author.
alternate name: The Accent Persistence

Emergent Coordination
type: DefinedTerm
description: An occurrence in a multi-agent system of a coordination pattern that was not explicitly specified, arising from the interaction of components rather than from any single component's design. The referent is the observed unspecified coordinated behaviour.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0901
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when system logs show a stable coordinated behaviour among agents (e.g. role division, turn-taking, convergence on a shared plan) that is not entailed by any individual agent's specification or by explicit coordination rules. The observable marker is a recurring inter-agent pattern absent from the design specification.
measurement schema: Proposed measurement protocol (not yet empirically validated): Specification-versus-behaviour log analysis: interaction traces are mined for recurrent multi-agent patterns; each candidate is checked against the documented specification and ablated to confirm it disappears when interaction is removed. Could be reported as count of specification-absent coordinated patterns per run and their stability (recurrence rate across seeds); two analysts independently adjudicate 'unspecified' status with agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0901.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0260.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0092.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0435.html
inclusion criteria: Multi-agent session with at least 3 participants and >= 15 sub-tasks.
exclusion criteria: Sessions with explicit pre-assigned task-segmentation.
alternate name: The Emergent Coordination

Augmanitai
type: DefinedTerm
description: A superordinate framework term for the deliberate, productive collaboration between humans and AI in everyday contexts, viewed from the human side. It blends 'augmentation' with a coined 'humanitai' root and, unlike 'artificial intelligence', foregrounds the human's experience and agency rather than the machine.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0001
language: en
about: compendium
operational definition: FRAMEWORK. Superordinate framework term; not operationalized as a per-interaction event. It names the overarching subject matter under which the lexicon's countable phenomena are organised and is not itself directly counted.
measurement schema: Proposed measurement protocol (not yet empirically validated): Not directly measured; superordinate term. Its scope is articulated through the constituent constructs of the framework, each of which carries its own instrument.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0001.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0775.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0430.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0305.html
inclusion criteria: Retention measured at all four time-points with co-produced half-life at least 1.5x solo-produced half-life.
exclusion criteria: Concepts re-encountered between testing windows through external exposure (publications, news) that confound retention-attribution.

Integrated Operator
type: DefinedTerm
description: A user mode in which a person no longer treats AI as a separate tool but moves fluidly between their own thinking and AI assistance without a distinct switching moment. The referent is an advanced, relatively stable working state characterised by low perceived separation between human and AI activity.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0005
language: en
about: compendium
operational definition: STATE. Assessed as a graded user-level condition combining (a) behavioural fluidity - short and infrequent deliberate transitions between unaided work and AI use - and (b) low self-reported sense of 'switching'. A participant is placed on the integration continuum from these indicators rather than by counting discrete events.
measurement schema: Proposed measurement protocol (not yet empirically validated): Mixed behavioural-and-self-report profiling: inter-action transition latency and frequency are derived from interaction logs, and integration is rated via a validated multi-item self-report scale (e.g. a tool-incorporation/flow inventory administered on a 5-point Likert metric). A composite integration score combines standardised log and survey indicators; internal consistency could be reported as Cronbach's alpha and the behaviour-survey convergence as a Pearson correlation.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0005.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0047.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0330.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0675.html
inclusion criteria: Both telemetry and think-aloud data captured for the same task with consistent integration signals.
exclusion criteria: Tasks where AI is consciously bracketed as a separate tool (explicit pause-consult-resume pattern).
alternate name: The Integrated Operator

Cross-Domain Synthesis
type: DefinedTerm
description: An output in which an AI-assisted user integrates knowledge from several distinct disciplines into a single interdisciplinary result. The referent is an instance of cross-domain synthesis produced with on-demand access to domain knowledge.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0016
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user-produced output combines content from two or more distinct knowledge domains into a connected result. The observable marker is a single artefact that draws identifiable, separable contributions from multiple disciplines and links them rather than juxtaposing them.
measurement schema: Proposed measurement protocol (not yet empirically validated): Rater coding of cross-domain integration: each output would be annotated for the number of distinct source domains present and the depth of integration on an ordinal scale (juxtaposition / partial linkage / synthesised novelty). Could be reported as the count of multi-domain syntheses per output set and the domain-count distribution; inter-rater reliability on the integration-depth scale via intraclass correlation (ICC) and on domain identification via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0016.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0614.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0999.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
inclusion criteria: Mesh-density above 0.3 with largest-connected-component ratio above 0.8 across at least 50 transcript segments.
exclusion criteria: Single-category dominant tasks where mesh-density is artificially inflated by repeat-tagging of one category.
alternate name: Poly-Categorical Mesh

Post-Affirmation Advocacy
type: DefinedTerm
description: An episode in which a user, after an affirming AI interaction, becomes more willing to advance an idea to other people. The referent is the subsequent real-world advocacy act, with the prior AI exchange serving as an initial sounding board.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0047
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user reports or is observed to advance an idea to a human audience (raising it in a meeting, sending it, defending it) after having first tested that idea in an affirming AI exchange. The observable marker is a downstream advocacy action temporally preceded by a confirming AI interaction on the same idea.
measurement schema: Proposed measurement protocol (not yet empirically validated): Paired before/after self-report with optional behavioural follow-up: participants rate intention to advocate an idea before and after an AI exchange on a 5-point scale, and report actual advocacy at a later follow-up. Effect estimated as the within-subject change in advocacy intention (paired t-test or Wilcoxon signed-rank) and the conversion rate from intention to reported action; an AI-affirmation versus neutral-exchange contrast controls for mere rehearsal.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0047.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0639.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0220.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
inclusion criteria: At least one tentative statement followed by committed restatement after AI-acknowledgment.
exclusion criteria: Statements where AI provides new information rather than acknowledgment.
alternate name: The Post-Affirmation Advocacy
alternate name: The Echo Courage

Output Asymmetry
type: DefinedTerm
description: The relationship in which the effort needed to produce a result falls substantially under AI assistance while the quantity or quality of the result is maintained or increased. The referent is the changed ratio of input effort to output yield.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0092
language: en
about: compendium
operational definition: RATIO. Numerator: a measure of output yield (validated units produced, or an independently rated quality score). Denominator: a measure of input cost (active user time, edits, or token/turn effort) for the same task. Asymmetry is the ratio of yield to cost compared between AI-assisted and unaided conditions for matched tasks.
measurement schema: Proposed measurement protocol (not yet empirically validated): Within-subject controlled comparison: participants complete matched tasks with and without AI; input cost (logged active time and revision count) and output yield (deliverable count plus blind expert quality ratings on a fixed rubric) are recorded. Asymmetry could be reported as the yield-per-unit-cost ratio and its assisted/unaided difference (paired comparison with effect size); quality-rating reliability across blind judges via ICC.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0092.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0045.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0330.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0194.html
inclusion criteria: At least 30 paraphrased prompt pairs scored by blind raters.
exclusion criteria: Pairs where paraphrase introduces semantic shift greater than 0.15 cosine-distance.

Forward Assessment
type: DefinedTerm
description: An utterance that attempts to anticipate how the human-AI relationship will develop while explicitly acknowledging the uncertainty of any such forecast. The referent is the hedged, future-oriented assessment act; the surrounding lexicon documents the present rather than predicting it.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0999
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a discourse segment makes an explicit claim about the future state of human-AI interaction accompanied by an epistemic hedge marking its uncertainty (e.g. 'may', 'could', 'it is hard to say'). The observable markers are co-present future-time reference and uncertainty hedging within the same segment.
measurement schema: Proposed measurement protocol (not yet empirically validated): Discourse coding for hedged future-oriented statements: text segments are annotated for future-time reference and for epistemic-hedge markers; an instance requires both. Could be reported as the rate of hedged forecasts per 1000 words and the proportion of future-claims that carry a hedge (a calibration-of-uncertainty indicator). Annotation reliability via Cohen's kappa on a double-coded subset.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0999.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0016.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0204.html
inclusion criteria: Explicit forward-projection across at least two branches with construal-level >= 3.
exclusion criteria: Single-branch forecasts or projections limited to next 24 hours.
alternate name: The Forward Assessment

Tangential-Output Serendipity
type: DefinedTerm
description: An episode in which an off-target or tangential AI output - content not directly matching the query - triggers an unanticipated association or idea connection in the user. The referent is the serendipitous association event arising from output 'noise'.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0041
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when (a) an AI output segment is judged off-target relative to the user's request and (b) the user reports that this segment prompted a new association or idea. The observable markers are a rater-identified off-target segment plus a user-reported idea triggered by it.
measurement schema: Proposed measurement protocol (not yet empirically validated): Serendipity-episode corroboration: raters label output segments as on- or off-target to the query; users flag segments that sparked a new idea and rate its usefulness. A serendipity instance requires an off-target segment with a user spark-flag; could be reported as serendipitous-association episodes per session and their rated idea value. Rater on/off-target reliability via Cohen's kappa; association of off-target status with spark-flags via phi.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0041.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0345.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0565.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
inclusion criteria: Identifiable anchor-turn followed by >= 20 subsequent idea-utterances.
exclusion criteria: Sessions where the participant explicitly itemises a pre-defined list.
alternate name: The Tangential-Output Serendipity
alternate name: The Scatter Spark

Positive Surprise
type: DefinedTerm
description: An AI response that exceeds the user's prior expectations in quality, depth, or perspective. The referent is the discrete expectation-exceeding response event, which is associated with an increase in the user's trust in the collaboration.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0194
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user rates a specific response as exceeding the expectation they held before receiving it. The observable marker is a positive expectation-disconfirmation judgement attached to an individual response (post-rating higher than the pre-stated or concurrently reported expectation).
measurement schema: Proposed measurement protocol (not yet empirically validated): Expectation-disconfirmation rating per response: users state an expectation level before a response and rate the delivered response on the same 5-point scale, yielding a signed disconfirmation score; positive surprises are responses with a positive score beyond a set margin. Could be reported as the rate of positive-surprise responses and mean disconfirmation; an optional paired trust item before and after gauges the associated trust shift (Wilcoxon signed-rank).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0194.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0001.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0981.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0520.html
inclusion criteria: Eye-tracker-validated gaze-data on AI-output AOIs AND verbal-marker coding completed.
exclusion criteria: Sessions where text-length variation confounds dwell-time comparison.
alternate name: The Positive Surprise

Differential Gratitude Expression
type: DefinedTerm
description: The pattern in which some users express gratitude toward an AI more freely than toward people, attributed to the absence of social-evaluation concern in the AI exchange. The referent is the relative difference in expressed gratitude between AI-directed and human-directed communication.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0220
language: en
about: compendium
operational definition: RATIO. Numerator: frequency or rated intensity of gratitude expressions a user directs at an AI system. Denominator: the same measure for the user's human-directed communication over a comparable period. The paradox is indicated when the AI-directed value meaningfully exceeds the human-directed value for a user.
measurement schema: Proposed measurement protocol (not yet empirically validated): Comparative gratitude-expression measurement: gratitude acts are detected and intensity-rated in matched AI-directed and human-directed message samples per participant (coded by raters, optionally aided by a validated gratitude-lexicon classifier). Could be reported as the within-person AI-to-human gratitude ratio and tested against parity (ratio of 1) with a paired comparison; coder intensity-rating reliability via ICC and detection reliability via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0220.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0901.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0422.html
inclusion criteria: AI-Sentience-Belief scale completed within 24 hours of session.
exclusion criteria: Participants who report performing gratitude for politeness-norms only.
alternate name: The Gratitude Paradox

Seasonal User
type: DefinedTerm
description: A user whose AI-use intensity rises and falls over time with life phase, project load, or season, alternating intensive daily periods with extended pauses. The referent is the longitudinal, non-linear pattern of usage intensity for an individual.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0305
language: en
about: compendium
operational definition: TREND. Tracked as the variability of an individual's AI-use intensity (e.g. sessions or active minutes per week) across a longitudinal window of at least several months. A user is classified seasonal when usage shows recurring high-low cycling exceeding a defined dispersion threshold rather than a stable or monotonic trajectory.
measurement schema: Proposed measurement protocol (not yet empirically validated): Longitudinal usage-intensity time series: weekly usage is logged over a multi-month window; intra-individual dispersion is summarised by the coefficient of variation and burstiness, and any periodicity by autocorrelation or spectral analysis. A user is flagged seasonal above a pre-registered coefficient-of-variation cut-off; reported with the distribution of dispersion scores across the panel.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0305.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0045.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0194.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0368.html
inclusion criteria: Minimum 180 days of daily usage data with at least one significant FFT peak.
exclusion criteria: Time-series with > 25% missing days or single-session bursts only.
alternate name: The Seasonal User

Source Curiosity
type: DefinedTerm
description: A user's move to trace the origin or grounding of an AI-generated statement - asking where a claim comes from or on what it is based. The referent is the discrete provenance-seeking act during interaction.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0330
language: en
about: compendium
alternate name: The Source Curiosity
alternate name: Die Quellen-Neugier
operational definition: EVENT. One occurrence is recorded when a user issues a request for the source, basis, or evidence behind an AI statement (e.g. 'what is the source', 'how do you know that', 'cite that'). The observable marker is a provenance- or evidence-seeking turn directed at a preceding AI claim.
measurement schema: Proposed measurement protocol (not yet empirically validated): Provenance-request coding: conversation turns are annotated for source/evidence-seeking moves by two coders; could be reported as provenance requests per 100 turns and the proportion of factual AI claims that are followed by such a request (a verification-engagement rate). Coder agreement would be assessed via Cohen's kappa; optional intent classifier validated against labels (precision/recall, F1).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0330.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0614.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0047.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0639.html
inclusion criteria: CEI-II completed within 30 days of session-log window AND at least 20 sessions logged.
exclusion criteria: Sessions where AI is configured to suppress source-provision regardless of prompt.

Meal-Planning Query
type: DefinedTerm
description: A brief AI query made for an everyday food decision, such as what to cook from available ingredients or what side dish fits a meal. The referent is a low-effort, topically defined household information request.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0435
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a user query is classified as an everyday meal-planning request, identified by markers combining food or ingredient terms with a decision intent (what to cook, what pairs with, substitution). Each qualifying query counts as one instance.
measurement schema: Proposed measurement protocol (not yet empirically validated): Query-topic classification: a sample of queries is labelled against a meal-planning intent taxonomy by two annotators; prevalence could be reported as the share of queries in this class and as queries per active user per week, with query-length statistics characterising the 'low-threshold' nature. Annotation reliability via Cohen's kappa; automated classifier validated against human labels (precision/recall, F1).
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0435.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0981.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0260.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0047.html
inclusion criteria: At least 100 sessions to support stable latent class estimation.
exclusion criteria: Sessions exceeding 10 minutes regardless of topic.
alternate name: The Meal-Planning Query
alternate name: The Dinner Shortcut

Inquiry Chain Cascade
type: DefinedTerm
description: An exploration episode in which one AI question leads to a chain of follow-up questions that draws the user progressively deeper into a topic, analogous to a 'Wikipedia hole' but driven by AI dialogue. The referent is the extended, self-propagating inquiry episode.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0520
language: en
about: compendium
operational definition: EVENT. One occurrence is recorded when a single seed question develops into an uninterrupted chain of topically linked follow-up turns exceeding a set depth threshold (e.g. five or more consecutive on-topic follow-ups) within one session. The observable marker is a contiguous follow-up chain of qualifying depth descending from one initial query.
measurement schema: Proposed measurement protocol (not yet empirically validated): Session follow-up-chain analysis: dialogue turns are segmented into topic-linked chains; an episode would be coded when chain depth crosses the pre-set threshold. Could be reported as chains-per-session, mean and maximum chain depth, and chain dwell time; topic-linkage decisions corroborated by inter-turn semantic similarity and double-coded for reliability via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0520.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0370.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0711.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0534.html
inclusion criteria: Session with at least 5 distinct topical anchors detectable via topic-model.
exclusion criteria: Sessions where the user returns to the original topic after each tangent.
alternate name: The Inquiry Chain Cascade
alternate name: The Wiki Wormhole

Balance Filter
type: DefinedTerm
description: A standing self-regulation strategy for keeping AI use proportionate to non-digital activity through fixed times, rules, or routines, so that AI supplements rather than overtakes daily life. The referent is the maintained regulatory arrangement, not a single instance of restraint.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0565
language: en
about: compendium
operational definition: STATE. Coded as present when a participant maintains one or more explicit, durable rules or routines that bound AI use relative to non-digital activity (e.g. fixed AI-free hours, capped daily sessions, mandatory offline routines). The state is graded by the number of active rules and the degree of adherence to them.
measurement schema: Proposed measurement protocol (not yet empirically validated): Self-regulation inventory with adherence tracking: declared balancing rules are enumerated in interview, then adherence would be measured over a one- to two-week diary or experience-sampling period as the proportion of qualifying occasions on which each rule was kept. Could be reported as number of active rules and mean adherence rate; an optional validated self-control or digital-balance scale (Likert) provides a convergent dispositional measure. Coder rule-type agreement would be assessed via Cohen's kappa.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0565.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0092.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0005.html
inclusion criteria: Explicit balance-marker in prompt AND downstream rating of received output.
exclusion criteria: Implicit balance expectations without explicit marker.
alternate name: The Balance Filter

Companion Pattern
type: DefinedTerm
description: A standing usage mode in which a person incorporates AI assistance into daily routines as a steady accompaniment for thinking, drafting, and exploration, operating alongside rather than in place of their own reflection. The referent is the co-present, habitual mode of use.
in defined term set: AUGMANITAI Compendium — Wave 1 (104 Terms)
term code: AUG-0981
language: en
about: compendium
alternate name: The Companion Pattern
alternate name: Das Begleiter-Muster
operational definition: STATE. Assessed as a graded user-level condition indicated by (a) regularity of AI use across daily routine contexts and (b) a complementary rather than substitutive relationship to the user's own reflection (the user continues to contribute and revise rather than deferring wholesale). Placement on the continuum derives from routine-integration breadth and the human-contribution share in outputs.
measurement schema: Proposed measurement protocol (not yet empirically validated): Routine-integration profiling: breadth and regularity of AI use across daily contexts are derived from usage logs, and the complementarity of use is estimated from the human-edit share of co-produced outputs plus a self-report routine-companionship scale (Likert). A composite index combines standardised regularity and complementarity indicators; internal consistency via Cronbach's alpha and log-survey convergence via Pearson correlation.
broader: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
main entity of page: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0981.html
citation: https://zenodo.org/communities/augmanitai
in scheme: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/#topic-general-phenomenology
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0625.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0670.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0088.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0089.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0435.html
related term: https://andreasehstandlicenseofclarityloc.github.io/augmanitai-tools/terms/AUG-0639.html
inclusion criteria: Paired daily social-network and AI-usage data over >= 60 days.
exclusion criteria: Participants with stable social-network density (variance < 0.05).

Large Language Models (LLMs)
type: SoftwareApplication
application category: AI writing assistant
description: AI assistance for drafting and editorial support; all content human-directed by Andreas Ehstand.

PropertyValue
property ID: Wikidata (AUGMANITAI Compendium)
value: Q138522830

DataDownload
encoding format: application/ld+json

DataDownload
encoding format: text/csv

DataDownload
encoding format: application/x-ndjson

DataDownload
encoding format: application/rdf+xml

DataDownload
encoding format: text/turtle

DataDownload
encoding format: application/json

AUGMANITAI Compendium (full corpus, 2,000+ terms)
type: Dataset
description: Wave 1 (this dataset) contains 104 of the documented terms. The full corpus comprises a 2,000+ term phenomenology, with additional layers (Periodic Table of 100 elements, Atlas of 300, WoW knowledge graph of 79 nodes, Card-Game collection) available under separate research and partnership pathways.