ArticleCognitive research: principles and implications2020
You shall not pass: how facial variability and feedback affect the detection of low-prevalence fake IDs.
Article in Cognitive research: principles and implications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Effects of prevalence and feedback in the identification of blast cells in peripheral blood: expert and novice observers.Cognitive research: principles and implications · 2025Article
- Queues, crowds, and angry mobs: Face identification under distraction in a virtual airport.Quarterly journal of experimental psychology (2006) · 2024Article
- How one block of trials influences the next: persistent effects of disease prevalence and feedback on decisions about images of skin lesions in a large online study.Cognitive research: principles and implications · 2022Article
- The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices.PloS one · 2022Article
- Feedback moderates the effect of prevalence on perceptual decisions.Psychonomic bulletin & review · 2021Article
- When experience does not promote expertise: security professionals fail to detect low prevalence fake IDs.Cognitive research: principles and implications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.