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Eye tracking reveals a crucial role for facial motion in recognition of faces by infants

Bibliographic Data

ID9785584
AuthorsNaiqi G Xiao (University of Toronto, corresponding author), Paul C Quinn (0000-0002-3816-3847, University of Delaware), Shaoying Liu (0000-0002-3710-0692, Zhejiang Sci-Tech University), Liezhong Ge (0000-0003-1591-1037, Zhejiang Sci-Tech University), Olivier Pascalis (0000-0003-4609-3233, Centre National de la Recherche Scientifique), Kang Lee (0009-0005-7219-5489, Canada Research Chairs)
Year2015
Volume51
Issue6
Pages744-757
Publication date2015-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDevelopmental Psychology (JOURNAL)
Journal identifiersISSN: 0012-1649 • E-ISSN: 1939-0599
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/dev0000019
PMID26010387
PMCIDPMC4445465
OpenAlexW2473644263
LanguageEN
Citations received7
References cited15

Current knowledge about face processing in infancy comes largely from studies using static face stimuli, but faces that infants see in the real world are mostly moving ones. To bridge this gap, 3-, 6-, and 9-month-old Asian infants (N = 118) were familiarized with either moving or static Asian female faces, and then their face recognition was tested with static face images. Eye-tracking methodology was used to record eye movements during the familiarization and test phases. The results showed a developmental change in eye movement patterns, but only for the moving faces. In addition, the more infants shifted their fixations across facial regions, the better their face recognition was, but only for the moving faces. The results suggest that facial movement influences the way faces are encoded from early in development

Cognitive psychology · Computer vision · Developmental psychology · Eye movement · Eye tracking · Face (sociological concept · Face perception · Facial recognition system · Motion (physics · Pattern recognition (psychology · Perception · Computer Science · Face recognition and analysis · Face Recognition and Perception · Neuroscience · Psychology · Visual Attention and Saliency Detection

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Unique citing works7
Citations per year0,78
Citation span2017 - 2023 (7)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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