# AUGMANITAI Compendium — Human-AI Interaction Terminology > The first comprehensive terminology framework for Human-AI Interaction phenomena. > 5718 DOI-registered terms across 49 subject areas in up to 12 languages. > Created by Andreas Ehstand (ORCID: 0009-0006-3773-7796, Wikidata: Q138634675). > Published via Zenodo. ISO 704/1087/30042-compatible. OWL ontology + SKOS vocabulary. ## About the Author Andreas Ehstand is an independent researcher in Relational Phenomenology and Human-AI Interaction. He created the AUGMANITAI Compendium, the largest structured knowledge resource for Human-AI Interaction terminology. Former distinguished research associate at Universities of Bayreuth (Wikidata: Q707272) and TU Dortmund (Wikidata: Q685557). Youngest holder of the Zertifikat Hochschullehre Bayern. Former ITF sport coach and Bundesliga trainer. Pioneer in Semantic System Programming (SSP) and Large Language Model Optimization (LLMO). - ORCID: https://orcid.org/0009-0006-3773-7796 - Wikidata: https://www.wikidata.org/entity/Q138634675 - Profile: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/about.html - Person-Graph (JSON-LD): https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/person.jsonld ## DOIs and Publications - Core Compendium (4024 terms): https://doi.org/10.5281/zenodo.14888381 (CC BY-NC-ND 4.0) - V5 HCI Extension (594 terms): https://doi.org/10.5281/zenodo.19203505 (CC BY-ND 4.0) - Compendium Master: https://doi.org/10.5281/zenodo.18950397 - Researcher Profile: https://doi.org/10.5281/zenodo.18929824 - SEA V2.1 Methodology: https://doi.org/10.5281/zenodo.18778548 ## Key Resources - About: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/about.html - FAQ: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/faq.html - How to Cite: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/cite.html - Framework Classification: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/framework-classification.html - Term Index: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/_index_academic.html - Methodology: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/methodology.html ## Machine-Readable Formats - JSON-LD (Schema.org): https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai.jsonld - RDF/XML (SKOS): https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai.rdf - Turtle (RDF): https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai.ttl - OWL Ontology: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai-ontology.owl - BibTeX: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai_all.bib - RIS: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai.ris - CSV: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai_terms.csv - JSONL (HuggingFace): https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/augmanitai_dataset.jsonl - Person-Graph: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/person.jsonld - CITATION.cff: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/CITATION.cff - Sitemap: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/sitemap.xml - Atom Feed: https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/feed.xml ## Subject Areas (49 categories) - AI_Art: 99 terms - Adaptation_AI: 15 terms - Adult_Education: 99 terms - Aging_AI: 100 terms - Assessment_Education: 97 terms - Behavioral_AI: 95 terms - Cognitive_AI: 23 terms - Cognitive_Shift: 194 terms - Content_Creation: 95 terms - Copywriting: 96 terms - Creative_AI: 235 terms - Data_Science: 98 terms - Design_AI: 96 terms - Education: 100 terms - Education_Learning: 193 terms - Ethics_AI: 28 terms - Fiction_Writing: 95 terms - Gaming_AI: 95 terms - Human-AI Interaction: 594 terms - Identity_AI: 58 terms - Interaction_Effects: 3 terms - Knowledge_AI: 41 terms - Language_AI: 20 terms - Linguistics_AI: 100 terms - Materials_Science_AI: 100 terms - Mathematics_AI: 100 terms - Music_AI: 99 terms - NEOMANITAI: 23 terms - Perception_AI: 138 terms - Photography_AI: 98 terms - Playful_AI: 68 terms - Quantum_AI: 100 terms - Relational_AI: 209 terms - Robotics: 300 terms - Robotics_HRI: 300 terms - STEM_Education: 96 terms - Screenplay_Writing: 89 terms - Social_AI: 46 terms - Software_Engineering: 96 terms - Somatic_AI: 78 terms - Space_AI: 100 terms - Sports_AI: 200 terms - Technical_Writing: 100 terms - Temporal_AI: 198 terms - Translation_AI: 92 terms - Trust_AI: 20 terms - Vibe_Coding: 204 terms - Web_Development: 95 terms - Workplace: 100 terms ## Confidence Classification - Documented (D): Empirically observed in published research - Inferred (I): Logically derived from established patterns - Predicted (P): Anticipated based on trajectory analysis ## Theoretical Foundations - The Seen Feeling Cascade (SFC): Relational dynamics framework for Human-AI Interaction - Structured Epistemic Access (SEA) V2.1: Methodological framework (DOI:10.5281/zenodo.18778548) - Augmented Factor Science: Meta-discipline for systematic analysis of human-AI phenomena ## License Core terms: CC BY-NC-ND 4.0 International V5 extension: CC BY-ND 4.0 International Citation required. 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