Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2610.19991.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Research paper examining how feedback shapes human-AI collaboration through a 244-participant behavioral study. Distinguishes reflection-in-action from reflection-on-action, finding unidirectional feedback risks reducing subsequent concurrent reflection while balanced feedback preserves both types and supports appropriate reliance.

Provides empirical guidance on feedback design for human-AI decision systems, with a clear behavioral study separating reflection-in-action from reflection-on-action effects.

Cited by

No citations on record.