September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
The Effect of Image Variability on Matching Unfamiliar Own and Other-Race Faces 
Author Affiliations
  • Samantha Mugavin
    University of Wollongong
  • Simone Favelle
    University of Wollongong
  • Amy Chan
    University of Wollongong
  • Niamh Kirk
    University of Wollongong
Journal of Vision September 2021, Vol.21, 2082. doi:https://doi.org/10.1167/jov.21.9.2082
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      Samantha Mugavin, Simone Favelle, Amy Chan, Niamh Kirk; The Effect of Image Variability on Matching Unfamiliar Own and Other-Race Faces . Journal of Vision 2021;21(9):2082. https://doi.org/10.1167/jov.21.9.2082.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Matching the identity of unfamiliar faces is highly error-prone, especially when the face is a different race to the viewer. This is referred to as the other-race effect (ORE). Recent research has tested methods for improving unfamiliar face matching performance and found that exposure to within-person variability (the way a face varies across multiple encounters) improves the identification of unfamiliar own-race faces. The current study investigates whether exposure to within-person variability can improve the identification of other-race faces as well as reduce the ORE. Using a cross-over design (N= 105), Caucasian-Australian and Asian-Singaporean participants completed a simultaneous matching task with Caucasian and Asian faces. Participants viewed a target image with either one other ambient image or an array of three ambient images and judged whether the identity in the array was the same or different to the target image identity. Results showed that viewing multiple images improved matching accuracy for own- and other-race faces in trials where the target image identity was the same as the image array. However, multiple images decreased accuracy in trials where the target image was a different identity. Notably, although multiple images improved accuracy for matching other-race faces, the improvement was not different from that for own-race faces. That is, the ORE was not reduced. This pattern was also shown in the analysis of signal detection measures. These findings highlight the robust nature of the ORE and provide insight into the formation of familiar face representations. 

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