You shall not pass: how facial variability and feedback affect the detection of low-prevalence fake IDs

Cogn Res Princ Implic. 2020 Jan 28;5(1):3. doi: 10.1186/s41235-019-0204-1.

Abstract

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.

Keywords: Facial identification; Imposter identification; Low-prevalence effect; Performance feedback; Receiver operating characteristic curves.

MeSH terms

  • Adult
  • Facial Recognition / physiology*
  • Feedback, Psychological / physiology*
  • Female
  • Humans
  • Judgment / physiology*
  • Male
  • ROC Curve
  • Social Perception*
  • Young Adult