Error Normalization Stance
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.
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).