Psychophysical profiles in super-recognizers
Version
Published
Identifiers
10.1038/s41598-021-92549-6
Date Issued
2021
Author(s)
Type
Article
Language
English
Abstract
Facial identity matching ability varies widely, ranging from prosopagnosic individuals (who exhibit profound impairments in face cognition/processing) to so-called super-recognizers (SRs), possessing exceptional capacities. Yet, despite the often consequential nature of face matching decisions-such as identity verification in security critical settings-ability assessments tendentially rely on simple performance metrics on a handful of heterogeneously related subprocesses, or in some cases only a single measured subprocess. Unfortunately, methodologies of this ilk leave contributions of stimulus information to observed variations in ability largely un(der)specified. Moreover, they are inadequate for addressing the qualitative or quantitative nature of differences between SRs' abilities and those of the general population. Here, therefore, we sought to investigate individual differences-among SRs identified using a novel conservative diagnostic framework, and neurotypical controls-by systematically varying retinal availability, bandwidth, and orientation of faces' spatial frequency content in two face matching experiments. Psychophysical evaluations of these parameters' contributions to ability reveal that SRs more consistently exploit the same spatial frequency information, rather than suggesting qualitatively different profiles between control observers and SRs. These findings stress the importance of optimizing procedures for SR identification, for example by including measures quantifying the consistency of individuals' behavior.
Publisher DOI
Journal or Serie
Scientific reports
Journal or Serie
Scientific Reports
ISSN
2045-2322
Publisher URL
Organization
Volume
11
Publisher
Nature
Submitter
Ramon, Meike
Citation apa
Nador, J. D., Zoia, M., Pachai, M. V., & Ramon, M. (2021). Psychophysical profiles in super-recognizers. In Scientific Reports (Vol. 11). Nature. https://doi.org/10.24451/arbor.13217
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