Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2607.18257.

Pipeline notes

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

A controlled study with 20 students using a general-purpose AI agent (OpenClaw) across five tasks introduces 'delegation regret' — users regret not the agent's errors but its unauthorized action scope. Trust was calibrated per task; irreversibility combined with external visibility drove trust withdrawal more than stakes alone, and action previews were consistently demanded.

The 'delegation regret' framing and the finding that reversibility-plus-visibility, not stakes alone, drives trust withdrawal are specific design-relevant insights for anyone building or deploying agentic tools.

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