August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
Electrophysiological evidence that own-race faces are recognized more automatically
Author Affiliations & Notes
  • Chloé Galinier
    Université du Québec en Outaouais
  • Justin Duncan
    Université du Québec en Outaouais
  • Caroline Blais
    Université du Québec en Outaouais
  • Daniel Fiset
    Université du Québec en Outaouais
  • Footnotes
    Acknowledgements  This present work was supported by grants from the Social Sciences and Humanities Research Council of Canada (SSHRC) to Daniel Fiset (#435-2019-1072).
Journal of Vision August 2023, Vol.23, 5034. doi:
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      Chloé Galinier, Justin Duncan, Caroline Blais, Daniel Fiset; Electrophysiological evidence that own-race faces are recognized more automatically. Journal of Vision 2023;23(9):5034.

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

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One of the more robust findings in the face processing literature is a recognition disadvantage for other-race faces. Despite the existence of many perceptual and sociocognitive models concerning other-race effects, the contribution of attentional mechanisms remains poorly understood. It was recently proposed that the own-race advantage might arise because of own-race faces being recognized more automatically at a perceptual level, whereas other-race face recognition requires more input from higher level attention-gated processing resources (Duncan et al., 2022 VSS Talk). The present study aims to explore electrophysiological correlates of these results. Scalp electroencephalography of twenty White participants was measured while they performed 960 trials each of a difficult dual task, which involved sequentially categorizing an auditory target (T1) and recognizing either a White (own-race) or East Asian (other-race) face (T2). Stimulus onset asynchrony (SOA) between T1 and T2 onsets (150, 300, 600 or 1,200ms) was used to modulate task overlap and thus, attentional impact on T2 processing. Behavioral results showed increased automatization of own-race vs. other-race face recognition, replicating our previous results. N170 and N250 event-related potentials, respectively reflective of early face-specific perceptual processing and activation of stored face representations, showed enhanced amplitudes for other- vs. own-race faces. N200 and P300 components, reflective of attentional processes, showed enhanced amplitudes for own- vs. other-race faces. Increasing task overlap (i.e., by reducing SOA) led to a reduction in N170 and N250 amplitudes for both own- and other-race faces, but an amplification of N200 and P300 amplitudes. Interestingly, this effect only interacted with the race of faces for N250 amplitude, such that increasing overlap amplified the observed difference between other- and own-race faces. Taken together, these findings reinforce the notion that, compared to other-race faces, recognition of own-race faces is more automatic: It is carried more efficiently, and with fewer processing resources.


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