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Abstract
We examined whether Asian individuals would show differential sensitivity to configural vs. featural changes to own- and other-race faces and whether such sensitivity would depend on whether the changes occurred in the upper vs. lower regions of the faces. We systematically varied the size of key facial features (eyes and mouth) of own-race Asian faces and other-race Caucasian faces, and the configuration (spacing) between the eyes and between the nose and mouth of the two types of faces. Results revealed that the other-race effect (ORE) is more pronounced when featural and configural spacing changes are in the upper region than in the lower region of the face. These findings reveal that information from the upper vs. lower region of the face contributes differentially to the ORE in face processing, and that processing of face race is influenced more by information location (i.e., upper vs. lower) than by information type (i.e., configural vs. featural).
Highlights
Observers are generally better at recognizing and discriminating own-race faces relative to otherrace faces
We examined whether participants are differentially sensitive to configural vs. featural changes or differentially sensitive to such changes in the upper vs. lower regions for ownand other-race faces
In the lower region, we found that the featural changes resulted in an inconsistent race difference in participant performance, and the configural changes did not result in any other-race effect (ORE)
Summary
Observers are generally better at recognizing and discriminating own-race faces relative to otherrace faces (see Meissner and Brigham, 2001; Anzures et al, 2013, for a review). This phenomenon is called the other-race effect (ORE). The ORE is reflected by a crossover interaction in discrimination accuracy or response time between the race of participants and the race of stimulus faces (Chance and Goldstein, 1987; Valentine, 1991; Michel et al, 2006b). The holistic account of the ORE has been assessed using the established measures of holistic processing (Tanaka and Gordon, 2011): the
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