September 2017
Volume 17, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2017
Spatial frequencies for rapid and accurate race categorisation in Caucasian participants
Author Affiliations
  • Isabelle Charbonneau
    Université du Québec en Outaouais
    Centre de Recherche en Neuropsychologie et Cognition
  • Gabrielle Dugas
    Université du Québec en Outaouais
    Centre de Recherche en Neuropsychologie et Cognition
  • Jessica Royer
    Université du Québec en Outaouais
    Centre de Recherche en Neuropsychologie et Cognition
  • Caroline Blais
    Université du Québec en Outaouais
    Centre de Recherche en Neuropsychologie et Cognition
  • Benoit Brisson
    Université du Québec a´ Trois-Rivières
  • Daniel Fiset
    Université du Québec en Outaouais
    Centre de Recherche en Neuropsychologie et Cognition
Journal of Vision August 2017, Vol.17, 836. doi:10.1167/17.10.836
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      Isabelle Charbonneau, Gabrielle Dugas, Jessica Royer, Caroline Blais, Benoit Brisson, Daniel Fiset; Spatial frequencies for rapid and accurate race categorisation in Caucasian participants. Journal of Vision 2017;17(10):836. doi: 10.1167/17.10.836.

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

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Abstract

Race categorisation is faster for other race (OR) than same race (SR) faces (Caldara et al., 2004). Some researchers propose that face identification prevails for SR (but not for OR faces), thus decreasing race categorisation proficiency for their own-race (Hugenberg et al., 2010). To gain a better understanding of this phenomenon, we investigated the perceptual basis of race categorisation. Sixteen Caucasians were asked to categorize rapidly and correctly the race of 50 Caucasian and 50 Afro-american faces (400 trials per race). On each trial, the spatial frequencies (SF) of the stimuli were randomly sampled using SF Bubbles (Willenbockel et al., 2010). Small amounts of white noise were added to each stimulus to keep accuracy at ~90%. Multiple regression analyses were conducted on the sampled SFs and the participant's speed (using a median split) to create group SF classification images (CI) for Caucasian and Afro-american faces separately. SFs between 1.7 and 9.3 cycles per face (cpf; peaking at 3.4 cpf; peaks were calculated using a 50% area spatial frequency measure) were significantly correlated with response speed for Caucasian faces, whereas SFs between 4.3 and 23.7 cpf (peaking at 10.3 cpf) were significantly correlated with response speed for Afro-american faces. Subtracting one CI from the other showed that rapid categorisation with Caucasian faces was significantly more correlated with the availability of low SF (< 3.3 cpf); Zcrit=3.45, p< 0.025) whereas medium/high SF availability lead to fast categorisation with afro-american faces (between 8.3 and 34.7 cpf); Zcrit=3.45, p< 0.025). These results demonstrate that participants categorized SR faces rapidly if the SFs important for face identification (i.e. medium SFs) were removed from the stimulus, whereas rapid OR face categorization can be based on medium SFs.

Meeting abstract presented at VSS 2017

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