Evidence map›Paper›PMID 33792842›Full record

ArticleCognitive research: principles and implications2021

When experience does not promote expertise: security professionals fail to detect low prevalence fake IDs.

Dawn R Weatherford, Devin Roberson, William Blake Erickson

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Time Pressure Increases Automation Reliance in a Face Matching Task.Quarterly journal of experimental psychology (2006) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dawn R WeatherfordPsychology Program, Department of Life Sciences, Texas A&M University-San Antonio, 1 University Way, San Antonio, TX, 78224, USA. dweatherford@tamusa.edu.ORCID 0000-0002-1145-1064
Devin RobersonPsychology Program, Department of Life Sciences, Texas A&M University-San Antonio, 1 University Way, San Antonio, TX, 78224, USA.
William Blake EricksonPsychology Program, Department of Life Sciences, Texas A&M University-San Antonio, 1 University Way, San Antonio, TX, 78224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Professional screeners frequently verify photograph IDs in such industries as professional security, bar tending, and sales of age-restricted materials. Moreover, security screening is a vital tool for law enforcement in the search for missing or wanted persons. Nevertheless, previous research demonstrates that novice participants fail to spot fake IDs when they are rare (i.e., the low prevalence effect; LPE). To address whether this phenomenon also occurs with professional screeners, we conducted three experiments. Experiment 1 compared security professional and non-professionals. Experiment 2 compared bar-security professionals, access-security professionals, and non-professionals. Finally, Experiment 3 added a newly created Professional Identity Training Questionnaire to determine whether and how aspects of professionals' employment predict ID-matching accuracy. Across all three experiments, all participants were susceptible to the LPE regardless of professional status. Neither length/type of professional experience nor length/type of training experience affected ID verification performance. We discuss task performance and survey responses with aims to acknowledge and address this potential problem in real-world screening scenarios.

Indexed as

DeceptionHumansPrevalenceFacial comparisonFacial identificationFacial reviewersLow prevalence effectProfessional experience

Identifiers

PMID33792842
PMCPMC8017042

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.