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What are superior face identity recognizers (SFIR) made of?
1Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France; CHRU-Nancy, Service de Neurologie, F-54000, France.
Neuropsychologia
|February 26, 2021
Summary
Super face identity recognizers (SFIR) excel at recognizing faces. This research suggests refining SFIR definitions with exclusion criteria and exploring electrophysiological measures for objective assessment.
Area of Science:
- Cognitive Neuroscience
- Human Perception
- Psychology
Background:
- Defining individuals who excel at face recognition, termed super face identity recognizers (SFIR), presents challenges.
- Existing definitions may not adequately address the nuances of prosopagnosia and prosopdysgnosia.
Discussion:
- Proposes stringent operational definitions for SFIR, incorporating exclusion criteria.
- Emphasizes the importance of domain-specificity in assessing SFIR performance.
- Addresses limitations in current diagnostic criteria for face recognition deficits.
Key Insights:
- Refining SFIR definitions is crucial for accurate research.
- Exclusion criteria and domain-specificity enhance the characterization of SFIR.
- Objective measures are needed to complement behavioral assessments.
Outlook:
- Suggests implicit electrophysiological measures, such as those from fast periodic visual stimulation (FPVS), for future research.
- Highlights the potential of FPVS to provide valid, objective, sensitive, and reliable indexes of face identity recognition.
- Advocates for a multi-modal approach to understanding exceptional face recognition abilities.
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