Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.04331.

Pipeline notes

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

IntentLint is a proof-of-concept system that helps data analysts externalize analytic intent as structured, editable rules and checks user prompts against shared rules to surface conflicts and undocumented assumptions during human-AI collaborative data analysis. A 16-analyst study showed improved awareness of collaborators' intent and reflection on strategies.

Proposes a concrete pattern — intent scaffolding plus prompt-time linting — for keeping shared analytic intent visible and checkable when multiple users prompt the same AI agent. Design implications are study-supported, not just opinion.

Cited by

No citations on record.