Bate, Sarah, Frowd, Charlie, Bennetts, Rachel, Hasshim, Nabil, Portch, Emma, Murray, Ebony ORCID: 0000-0003-4928-5871 and Dudfield, Gavin (2019) The consistency of superior face recognition skills in police officers. Applied Cognitive Psychology, 33 (5). pp. 828-842. doi:10.1002/acp.3525
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7619 Murray (2019) The consistency of superior face recognition skills in police officers.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview |
Abstract
In recent years, there has been increasing interest in people with superior face recognition skills. Yet identification of these individuals has mostly relied on criterion performance on a single attempt at a single measure of face memory. The current investigation aimed to examine the consistency of superior face recognition skills in 30 police officers, both across tests that tap into the same process and between tests that tap into different components of face processing. Overall indices of performance across related measures were found to identify different superior performers to isolated test scores. Further, different top performers emerged for target‐present versus target‐absent indices, suggesting that signal detection measures are the most useful indicators of performance. Finally, a dissociation was observed between superior memory and matching performance. Super‐recognizer screening programmes should therefore include overall indices summarizing multiple attempts at related tests, allowing for individuals to rank highly on different (and sometimes very specific) tasks.
Item Type: | Article |
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Article Type: | Article |
Uncontrolled Keywords: | composite face processing; face recognition; individual differences; personnel selection; super recognizers; REF2021 |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
Divisions: | Schools and Research Institutes > School of Education and Science |
Research Priority Areas: | Health, Life Sciences, Sport and Wellbeing |
Depositing User: | Anne Pengelly |
Date Deposited: | 19 Nov 2019 11:40 |
Last Modified: | 31 Aug 2023 09:04 |
URI: | https://eprints.glos.ac.uk/id/eprint/7619 |
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