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Published on: November 20, 2018
Applied screening tests for the detection of superior face recognition
Sarah Bate1, Charlie Frowd2, Rachel Bennetts3
11Department of Psychology, Faculty of Science and Technology, Bournemouth University, Fern Barrow, Poole, UK.
Identifying superior face recognition skills requires more than one test. Many self-identified experts showed inconsistent performance across various face memory and matching tasks, highlighting the need for thorough screening protocols.
Area of Science:
- Psychology
- Cognitive Science
- Forensic Science
Background:
- Growing interest in identifying individuals with exceptional face recognition abilities for theoretical and applied research.
- Current identification methods primarily rely on single-attempt performance on controlled tests like the Cambridge Face Memory Test (CFMT+).
- The consistency and generalizability of these superior skills across diverse, applied scenarios remain underexplored.
Purpose of the Study:
- To systematically examine the consistency of superior face recognition skills across a range of tests, including applied policing scenarios.
- To evaluate the effectiveness of current screening methods and propose improvements for identifying individuals with genuine, robust face recognition expertise.
- To investigate whether self-identified superior face recognizers maintain their advantage across different types of face identification tasks.
Main Methods:
- Screening of 200 self-identified individuals with superior face recognition abilities.
- Utilized the Cambridge Face Memory Test (CFMT+) alongside three novel, applied tests: face memory, face matching, and composite-face identification in a crowd.
- Compared participant performance against control groups to establish benchmarks for superior performance.
Main Results:
- 59.5% of the sample demonstrated some consistency in superior face recognition performance across tests.
- Only a small number of individuals (five) significantly outperformed controls on overall target-present and target-absent trials.
- Exceptional performance on the Crowds test was rare, with only one participant exceeding control levels, indicating task-specific skill requirements.
Conclusions:
- Self-selection is insufficient for reliably identifying individuals with top-tier face recognition skills.
- Future screening protocols must incorporate multiple, diverse tasks to assess performance consistency and detect various types of superior abilities.
- Applied face recognition screening should directly replicate relevant tasks, considering both target-present and target-absent conditions to accurately identify optimal performers.
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