Knowledge Gaps and Explanation Design in AI Advice: A Cognitive Fit Perspective on User Decision Confidence
3.20T1 sourceInternational Journal of Human-Computer Studies (Elsevier)
Source record
Published by International Journal of Human-Computer Studies (Elsevier) (T1 source). The original is at https://www.sciencedirect.com/science/article/pii/S1071581926001734?dgcid=rss_sd_all.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPeer-reviewed study examining how knowledge gaps between users and AI advisors, and the design of AI-generated explanations, affect user decision confidence through a cognitive fit lens.
Why it mattersEmpirical evidence linking explanation design to decision confidence in human-AI advising, useful for those building or evaluating AI-assisted decision tools.
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