Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.22427.

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 within-subject study (n=24) examining six turn-level design frictions in AI chatbots across three mechanisms: eliciting user contribution, restricting content access, and reshaping output. All probes increased workload, task duration, and perceived ownership; effects on recall and recognition were selective; user adaptation varied by goal and workflow.

Empirical evidence on how intentional constraints in chatbot exchanges affect overreliance and ownership, with usable design patterns for AI-assisted writing tools.

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