Psychophysical profiles in super-recognizers.
Details
Serval ID
serval:BIB_6D70AC0C2F94
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Psychophysical profiles in super-recognizers.
Journal
Scientific reports
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Publication state
Published
Issued date
23/06/2021
Peer-reviewed
Oui
Volume
11
Number
1
Pages
13184
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
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.
Keywords
Adult, Aptitude, Facial Recognition/physiology, Female, Humans, Individuality, Logistic Models, Male, Middle Aged, Photography/methods, Psychophysiology, Young Adult
Pubmed
Web of science
Publisher's website
Open Access
Yes
Funding(s)
Swiss National Science Foundation / PR00P1_179872
Create date
29/03/2022 17:14
Last modification date
29/03/2022 18:08