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Vis cogn. 2013 Jan 01;21(9):1138-1164. doi: 10.1080/13506285.2013.800622.

Developing Race Categories in Infancy via Bayesian Face Recognition.

Visual cognition

Benjamin Balas

Affiliations

  1. Department of Psychology, North Dakota State University, Fargo, ND 58102.

PMID: 24723788 PMCID: PMC3979635 DOI: 10.1080/13506285.2013.800622

Abstract

The other-race effect emerges during infancy following the perceptual narrowing of face recognition. Other-race faces that were previously discriminable in early infancy cannot be distinguished by older infants. Presently, I discuss a Bayesian model of this process that posits that the other-race effect may be a consequence of learning to distinguish between intra-personal variation (changes to face appearance that preserve identity) and extra-personal variation (changes that do not preserve identity) in a visual environment in which a subset of race categories dominate. I demonstrate that race categories, which I have previously argued are a critical pre-cursor to the emergence of the other-race effect in infancy, are a natural by-product of this model. Perceptual narrowing for race may thus be a natural consequence of visual experience and the estimation of face variability based on a growing number of exemplars. I describe the basic architecture of the model, its applicability to a range of visual learning scenarios, and identify critical choices one faces in applying the model to a specific perceptual task. Despite the success of the model in accounting for these behavioral results, I conclude by identifying important shortcomings of the model and describe important challenges for future efforts to characterize the development of the other-race effect computationally.

Keywords: Category Perception; Computational Modeling; Other-race effect; Perceptual Narrowing

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