Journal
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
Volume 167, Issue -, Pages 295-313Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jecp.2017.10.012
Keywords
Face recognition; Cognitive development; Perceptual development; Ensemble coding; Ambient images
Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Undergraduate Student Research Award (USRA, NSERC)
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Nearly every study investigating the development of face recognition has focused on the ability to tell people apart using one or two tightly controlled images to represent each identity. Such research ignores the challenge of recognizing the same person despite variability in appearance. Whereas natural variation in appearance makes unfamiliar faces difficult to recognize, by 6 years of age people easily recognize multiple images of familiar faces. Two mechanisms are proposed to underlie the process by which adults become familiar with newly encountered faces. We provide the first examination of the development of these mechanisms during childhood (6-11 years). In Experiment 1, we examined children's (6- to 10-year-olds') and adults' ability to engage in ensemble coding the ability to rapidly extract an average representation of an identity from several instances. In Experiment 2, we examined children's ability to use within-person variability in appearance to recognize novel instances of a newly encountered identity. We created a child-friendly perceptual matching task, and the number of images to which participants were exposed varied across targets. Although children were less accurate than adults overall in Experiment 2, we found no age-related improvement in either ensemble coding or the ability to benefit from exposure to within-person variability in appearance when learning a new face, suggesting that both abilities are developed by 6 years of age. We discuss the implications of these findings for understanding the nature of mechanisms underlying face learning and other developmental processes such as language and music. (C) 2017 Elsevier Inc. All rights reserved.
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