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Caucasian Infants Scan Own- and Other-Race Faces Differently

Overview of attention for article published in PLOS ONE, April 2011
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Title
Caucasian Infants Scan Own- and Other-Race Faces Differently
Published in
PLOS ONE, April 2011
DOI 10.1371/journal.pone.0018621
Pubmed ID
Authors

Andrea Wheeler, Gizelle Anzures, Paul C. Quinn, Olivier Pascalis, Danielle S. Omrin, Kang Lee

Abstract

Young infants are known to prefer own-race faces to other race faces and recognize own-race faces better than other-race faces. However, it is entirely unclear as to whether infants also attend to different parts of own- and other-race faces differently, which may provide an important clue as to how and why the own-race face recognition advantage emerges so early. The present study used eye tracking methodology to investigate whether 6- to 10-month-old Caucasian infants (Nā€Š=ā€Š37) have differential scanning patterns for dynamically displayed own- and other-race faces. We found that even though infants spent a similar amount of time looking at own- and other-race faces, with increased age, infants increasingly looked longer at the eyes of own-race faces and less at the mouths of own-race faces. These findings suggest experience-based tuning of the infant's face processing system to optimally process own-race faces that are different in physiognomy from other-race faces. In addition, the present results, taken together with recent own- and other-race eye tracking findings with infants and adults, provide strong support for an enculturation hypothesis that East Asians and Westerners may be socialized to scan faces differently due to each culture's conventions regarding mutual gaze during interpersonal communication.

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Geographical breakdown

Country Count As %
United States 5 3%
Italy 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Singapore 1 <1%
Canada 1 <1%
Unknown 145 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Student > Master 23 15%
Student > Bachelor 19 12%
Researcher 18 12%
Other 10 6%
Other 33 21%
Unknown 19 12%
Readers by discipline Count As %
Psychology 109 70%
Agricultural and Biological Sciences 5 3%
Medicine and Dentistry 4 3%
Neuroscience 3 2%
Philosophy 3 2%
Other 11 7%
Unknown 20 13%