August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
The impact of face ethnicity on the detection of pain facial expressions
Author Affiliations & Notes
  • Daphnée Sénécal
    Université du Québec en Outaouais
  • Marie-Pier Plouffe-Demers
    Université du Québec à Montréal
  • Daniel Fiset
    Department of Psychology & Center for Brain Science, Harvard University, Cambridge, Massachusetts
  • Caroline Blais
    Department of Medicine, Justus Liebig University, Giessen, Germany
  • Footnotes
    Acknowledgements  Social Sciences and Humanities Research Council (SSHRC; # 435-2022-0397); Canada Research Chair in cognitive and social vision (# 950-232282)
Journal of Vision August 2023, Vol.23, 5073. doi:https://doi.org/10.1167/jov.23.9.5073
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      Daphnée Sénécal, Marie-Pier Plouffe-Demers, Daniel Fiset, Caroline Blais; The impact of face ethnicity on the detection of pain facial expressions. Journal of Vision 2023;23(9):5073. https://doi.org/10.1167/jov.23.9.5073.

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

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Abstract

Many studies have revealed that the pain expressed by Black people is underestimated. Moreover, a series of studies have shown that White perceivers have a more stringent threshold for detecting pain on Black than on White faces. However, those studies systematically relied on a yes/no task, which is sensitive to one’s decisional criterion. Thus, it is not possible to know if the different thresholds come from alterations in sensitivity or from different decisional criteria. This research assessed whether those disparities remain when using a task controlling for decisional criteria. Experiment 1 aimed at replicating the aforementioned studies. We used a yes/no task where participants (N=50) saw either Black or White faces depicting a level of pain expression ranging from neutral to 100%. Participants indicated whether the face displayed pain or not. Results support previous findings with an effect of face ethnicity on participant’s proportions of pain detection, F(1, 49)=58.5, p<.001, η2p=.54. More precisely, participants detected pain less frequently on Black than on White faces between 35% and 55% of pain intensity (p<.001). In Experiment 2 (N=50), a 2-IFC task, considered to be mostly criterion-free, was used. Two faces appeared subsequently, and participants indicated which face displayed the higher pain expression. One face was neutral, and the other displayed a pain expression ranging from 5% to 70% intensity. Results showed a significant effect of ethnicity on participant’s proportions of pain detection, F(1, 49)=16.9, p<.001, η2p =.26. However, the lower frequency of pain detection in Black than in White faces was only observed at a 10% of pain intensity (p<.001). When controlling for decisional criteria, effect of face ethnicity subsists, yet seems weaker and constrained to a narrower range of pain intensities. Subsequent researches should simultaneously measure the respective contributions of sensitivity and decisional criteria in face ethnicity effect on pain detection.

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