The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An easy game for frauds? Effects of professional experience and time pressure on passport-matching performance.
Abstract
Despite extensive research on unfamiliar face matching, little is known about factors that might affect matching performance in real-life scenarios. We conducted 2 experiments to investigate the effects of several such factors on unfamiliar face-matching performance in a passport-check scenario. In Experiment 1, we assessed the effect of professional experience on passport-matching performance. The matching performance of 96 German Federal Police officers working at Munich Airport was compared with that of 48 novices without specific face-matching experience. Police officers significantly outperformed novices, but nevertheless missed a high ratio of frauds. Moreover, the effects of manipulating specific facial features (with paraphernalia like glasses and jewelry, distinctive features like moles and scars, and hairstyle) and of variations in the physical distance between the faces being matched were investigated. Whereas manipulation of physical distance did not have a significant effect, manipulations of facial features impaired matching performance. In Experiment 2, passport-matching performance was assessed in relation to time constraints. Novices matched passports either without time constraints, or under a local time limit (which is typically used in laboratory studies), or under a global time limit (which usually occurs during real-life border controls). Time pressure (especially the global time limit) significantly impaired matching performance. (PsycINFO Database Reco…
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Previous studies have examined the relationship between the length of time employed in a professional role and face identification accuracy to understand the role of on-the-job learning.
“However, previous studies have examined the relationship between the length of time employed in a professional role and face identification accuracy to understand the role of on-the-job learning [9, 10, 27, 28].”
From Do professional facial image comparison training courses work? (2019) · cites this paper as [28]
Participants in these studies were facial reviewers-non-specialist facial image comparison practitioners who perform fast, high-volume face identifications (e.g. at border control).
“Instead, participants in these studies were facial reviewers–non-specialist facial image comparison practitioners who perform fast, high-volume face identifications (e.g. at border control).”
From Do professional facial image comparison training courses work? (2019) · cites this paper as [28]
None of these studies included facial examiners.
“However, none of these studies included facial examiners.”
From Do professional facial image comparison training courses work? (2019) · cites this paper as [28]
These studies all show no improvement with more professional experience, suggesting that on-the-job learning in these particular roles does not help develop expertise.
“These studies all show no improvement with more professional experience, suggesting that on-the-job learning in these particular roles does not help develop expertise.”
From Do professional facial image comparison training courses work? (2019) · cites this paper as [28]
Citations
Cites
Expertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418
Two-stage dynamic signal detection: A theory of choice, decision time, and confidence.
Pleskac, T. J., & Busemeyer, J. R. (2010) · Psychological Review · doi:10.1037/a0019737 · Cited by 722
Error Rates in Users of Automatic Face Recognition Software
White, D., Dunn, J. D., Schmid, A. C., & Kemp, R. I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139827 · Cited by 141
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Do professional facial image comparison training courses work?
Towler, A., Kemp, R. I., Burton, A. M., Dunn, J. D., Wayne, T., Moreton, R., & White, D. (2019) · PLOS ONE · doi:10.1371/journal.pone.0211037 · Cited by 111
Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations
Nichols, R., Rathgeb, C., Drozdowski, P., & Busch, C. (2022) · IEEE Access · doi:10.1109/access.2022.3160596 · Cited by 16
A criterion-placement theory of face matching
Baker, K. A., Mondloch, C. J., Hancock, P. J. B., & Bindemann, M. (2026) · Cognition · doi:10.1016/j.cognition.2025.106319 · Cited by 5
Metadata
- Authors
- Wirth, B. E., & Carbon, C.-C.
- Venue
- Journal of Experimental Psychology: Applied
- Published
- 2017
- Volume
- 23
- Issue
- 2
- Pages
- 138-157
- ISSN
- 1939-2192
- 1076-898X
- Cited by
- 28
- References
- 3
- Language
- en
- Funders
- German Research Foundation (GRK 1457)
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