A user profile characterized by observable reflection on one's own AI use and deliberate refinement of that use over time, such as reviewing past interactions and adjusting strategies. The construct is the degree of metacognitive, self-revising engagement with one's AI practice.
STATE. Operationalized via indicators of reflective practice: frequency of reviewing or annotating past interactions, documented strategy adjustments, and self-reported metacognitive engagement. A user scores higher when these reflection-and-revision indicators are more present. The construct is graded, not a discrete event.
Proposed measurement protocol (not yet empirically validated): Composite reflective-practice score: log indicators (revisits/annotations of prior sessions, count of recorded strategy changes) plus a short metacognition self-report scale; could be reported as a standardized composite with subscale reliabilities.
https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic/#topic-meta-reflection