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Visual search for own- and other-race faces within and across race distractors

Bibliographic Data

ID13918634
AuthorsQi Zhang (0009-0000-5229-2496, Jiangsu Normal University, corresponding author), Meng Jiang (0000-0001-9854-3676, Sichuan International Studies University), Shlomo Bentin (Hebrew University of Jerusalem), Lun Zhao (0000-0003-3732-6103)
Year2017
Volume45
Issue11
Pages1829-1842
Publication date2017-05-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Behavior and Personality An International Journal (JOURNAL)
Journal identifiersISSN: 0301-2212 • E-ISSN: 1179-6391
PublisherScientific Journal Publishers Limited (PUBLISHER)
DOI10.2224/sbp.5958
OpenAlexW2615888546
LanguageEN

A person's race could be a very important feature that is used to differentiate between own-race and other-race faces during a visual search. Using well-controlled gray-scale images of people's faces without salient relatively lower level race-specific features, such as color of hair and eyes, we investigated whether or not there is a visual search advantage for other-race over own-race faces. We found that both Chinese ( n = 48) and Caucasian ( n = 48) participants used serial and self-terminating search techniques, but neither racial group used pop-out or parallel search methods. An advantage favoring other-race faces was observed in visual search among Chinese participants, whereas neither advantage nor disadvantage was observed for other-race faces among the Caucasian participants. We discuss the mechanism underlying visual search to identify race of faces. Further, although the current data do not exclude the possibility of cultural diversity across races in regard to visual search, our findings point to the importance of observer's race in cross-cultural studies in which visual search of human faces is used

Cognitive psychology · Disadvantage · Race (biology · Salient · Visual Search · Animal Behavior and Welfare Studies · Computer Science · Evolutionary Psychology and Human Behavior · Face Recognition and Perception · Gender Studies · Psychology · Social Psychology · Artificial Intelligence

Citation velocityhistorical
Highly citedNo

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