文章基本信息

标题：You shall not pass: how facial variability and feedback affect the detection of low-prevalence fake IDs
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作者：Dawn R. Weatherford ; William Blake Erickson ; Jasmyne Thomas 等
期刊名称：Cognitive Research
电子版ISSN：2365-7464
出版年度：2020
卷号：5
期号：1
页码：3-17
DOI：10.1186/s41235-019-0204-1
出版社：Springer International Publishing
摘要：In many real-world settings, individuals rarely present another person's ID, which increases the likelihood that a screener will fail to detect it. Three experiments examined how within-person variability (i.e., differences between two images of the same person) and feedback may have influenced criterion shifting, thought to be one of the sources of the low-prevalence effect (LPE). Participants made identity judgments of a target face and an ID under either high, medium, or low mismatch prevalence. Feedback appeared after every trial, only error trials, or no trials. Experiment 1 used two controlled images taken on the same day. Experiment 2 used two controlled images taken at least 6 months apart. Experiment 3 used one controlled and one ambient image taken at least 1 year apart. Importantly, receiver operating characteristic curves revealed that feedback and greater within-person variability exacerbated the LPE by affecting both criterion and discriminability. These results carry implications for many real-world settings, such as border crossings and airports, where identity screening plays a major role in securing public safety.
关键词：Facial identification;Imposter identification;Low-prevalence effect;Performance feedback;Receiver operating characteristic curves