Learning faces from variability

Ritchie, Kay L. and Burton, A. Mike (2017) Learning faces from variability. The Quarterly Journal of Experimental Psychology, 70 (5). pp. 897-905. ISSN 1747-0218

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Abstract

Research on face learning has tended to use sets of images that vary systematically on
dimensions such as pose and illumination. In contrast, we have proposed that
exposure to naturally varying images of a person may be a critical part of the
familiarization process. Here, we present two experiments investigating face
learning with “ambient images”—relatively unconstrained photos taken from
internet searches. Participants learned name and face associations for unfamiliar
identities presented in high or low within-person variability—that is, images of the
same person returned by internet search on their name (high variability) versus
different images of the same person taken from the same event (low variability). In
Experiment 1 we show more accurate performance on a speeded name verification
task for identities learned in high than in low variability, when the test images are
completely novel photos. In Experiment 2 we show more accurate performance on
a face matching task for identities previously learned in high than in low variability.
The results show that exposure to a large range of within-person variability leads to
enhanced learning of new identities.

Keywords:Face Perception, Face learning, Face recognition, Variability
Subjects:C Biological Sciences > C800 Psychology
C Biological Sciences > C850 Cognitive Psychology
C Biological Sciences > C830 Experimental Psychology
Divisions:College of Social Science > School of Psychology
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ID Code:24071
Deposited On:14 Sep 2016 15:27

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