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First impressions from faces in the real world

Commentary on Sutherland and Young (2022)

Bibliographic Data

ID14061920
AuthorsAlice J O''Toole (0000-0001-7981-1508, The University of Texas at Dallas Richardson Texas USA, corresponding author), Ying Hu (0000-0002-9875-1077, State Key Laboratory of Brain and Cognitive Science, Institute of Psychology Chinese Academy of Sciences Beijing China)
Year2023
Volume114
Issue2
Pages508-510
Publication date2023-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBritish Journal of Psychology (JOURNAL)
Journal identifiersISSN: 0007-1269 • E-ISSN: 2044-8295
PublisherWiley (PUBLISHER • GB)
DOI10.1111/bjop.12621
PMID36519182
OpenAlexW4311511739
LanguageEN
Citations received1
References cited15

The study of first impressions from faces now emphasizes the need to understand trait inferences made to naturalistic face images (British Journal of Psychology, 113, 2022, 1056). Face recognition algorithms based on deep convolutional neural networks simultaneously represent invariant, changeable and environmental variables in face images. Therefore, we suggest them as a comprehensive ‘face space’ model of first impressions of naturalistic faces. We also suggest that to understand trait inferences in the real world, a logical next step is to consider trait inferences made to whole people (faces and bodies). On the role of cultural contributions to trait perception, we think it is important for the field to begin to consider the way in which trait inferences motivate (or not) behaviour in independent and interdependent cultures

Cognitive psychology · Epistemology · Face (sociological concept) · Face perception · Field (mathematics) · Interdependence · Naturalism · Perception · Sociology · Trait · Computer Science · Evolutionary Psychology and Human Behavior · Face Recognition and Perception · Psychology · Psychology of Moral and Emotional Judgment · Social Psychology

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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