Error Composure
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.
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.