Effects of uncertain system information on users' performance, confidence, and trust in aided linguistic judgement
3.40T1 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/S1071581926001564?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.
SummaryEmpirical study examining how displaying uncertain system information affects user performance, confidence, and trust when making linguistic judgements with an AI decision aid.
Why it mattersProvides peer-reviewed evidence on trust calibration with uncertainty cues in human-AI decision support — useful baseline for tool designers and prompt engineers.
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