The Influence of Exposure and Error Type on Estimates of Automation Reliability
3.80T1 sourceHuman Factors (SAGE / HFES)
Source record
Published by Human Factors (SAGE / HFES) (T1 source). The original is at https://journals.sagepub.com/doi/abs/10.1177/00187208261435308?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA study in Human Factors examining how user exposure to an automated decision support system and the saliency of its errors affect estimates of automation reliability, evaluating sensitivity and calibration of those judgments.
Why it mattersQuantifies how perception of automation reliability shifts with experience and error visibility — useful background for designing or evaluating trust in AI-assisted workflows.
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