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When two fields collide: Identifying "super-recognisers" for neuropsychological and forensic face recognition
Sarah Bate1, Emma Portch1, Natalie Mestry1
1Department of Psychology, Faculty of Science & Technology, Bournemouth University, Poole, UK.
Summary
Individuals with exceptional face recognition abilities, known as "super-recognisers," exhibit significant variations in performance. This review addresses inconsistencies in defining and identifying these individuals to advance research and practical applications.
Area of Science:
- Cognitive Neuroscience
- Forensic Psychology
- Individual Differences in Perception
Background:
- The study of face recognition has historically focused on prosopagnosia.
- Recent research highlights substantial variability in face recognition abilities within the general population.
- Super-recognisers represent individuals at the highest end of this ability spectrum.
Purpose of the Study:
- To review current protocols for identifying super-recognisers in published literature.
- To propose a unified definition of super-recognisers.
- To offer screening recommendations for consistent identification across research fields.
Main Methods:
- Systematic review of published studies employing methods to identify super-recognisers.
- Analysis of discrepancies in definitions and identification approaches.
- Synthesis of findings to propose a standardized framework.
Main Results:
- Discrepancies exist in the definition and identification of super-recognisers across cognitive neuropsychology and forensic face matching.
- Current methodologies lack consistency, hindering theoretical advancement.
- A need for standardized protocols is evident for both scientific understanding and practical application.
Conclusions:
- Establishing a common definition and standardized screening methods for super-recognisers is crucial.
- Such standardization will facilitate theoretical progress in face recognition research.
- Consistent identification protocols are essential for the effective implementation of super-recognisers in forensic and security settings.
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