September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Ethnicity and Pain Recognition: Unraveling Confusion Patterns in Facial Expressions
Author Affiliations & Notes
  • Marie-Pier Plouffe-Demers
    University of Quebec in Montreal
    University of Quebec in Outaouais
    University of Glasgow
  • Chaona Chen
    University of Glasgow
  • Angélica Pérez Motta
    University of Quebec in Outaouais
  • Valentina Gosetti
    University of Glasgow
  • Caroline Blais
    University of Quebec in Outaouais
  • Rachael E. Jack
    University of Glasgow
  • Footnotes
    Acknowledgements  This work was supported by a European Research Council Starting Grant (Rachael E. Jack), a Canada Research Chair in Cognitive and Social (Caroline Blais), and by graduate scholarships from the Social Sciences and Humanities Research Council and Mitacs Globalink (Marie-Pier Plouffe-Demers)
Journal of Vision September 2024, Vol.24, 1010. doi:https://doi.org/10.1167/jov.24.10.1010
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      Marie-Pier Plouffe-Demers, Chaona Chen, Angélica Pérez Motta, Valentina Gosetti, Caroline Blais, Rachael E. Jack; Ethnicity and Pain Recognition: Unraveling Confusion Patterns in Facial Expressions. Journal of Vision 2024;24(10):1010. https://doi.org/10.1167/jov.24.10.1010.

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

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Abstract

Ethnic minorities expressing pain are often under-diagnosed and under-treated (Cintron et al., 2006). The misinterpretation of pain signals conveyed through facial expressions across different ethnicities might be a key factor contributing to these variations (Dildine et al., 2023). Current theories of social perception suggest that such misclassifications could be due to ethnic stereotype knowledge that could amplify confusions between pain and similar-looking facial expressions, like anger or disgust (Hugenberg et al., 2004; Kunz et al., 2019; Roy et al., 2015). However, no study has explicitly examined the interaction between these factors. Here, we addressed this question by first examining whether face ethnicity influences the interpretation of facial expressions of pain as other negative emotions. Using a generative model of the human face, we displayed 40 facial expressions of pain, sadness, anger, fear and disgust on each of 40 face identities varying in ethnicity (Black, East Asian, White) and sex (male, female). Participants (30 White Western; sex-balanced; 18-35 years) classified each stimulus in an alternative forced choice task (5AFC). Combining a within-subject bootstrap analysis (10,000 resamples) with the Bayesian estimate of population prevalence (Ince et al., 2021), we investigated the effect of ethnicity on accuracy and confusion patterns between pain and other negative emotions. Preliminary results (n = 22) show that, across face ethnicities, facial expressions of pain are the least accurately identified and generate more systematic confusions with disgust for black compared to white faces. To explore these confusions further, we plan to conduct a second complementary discrimination task where participants will detect the presence of target emotions (measured using d-prime, n = 30). By investigating the role of face ethnicity in interpreting facial expressions of pain, our study aims to shed light on how and why disparities in pain perception arise and provide potential insights into mitigating these effects.

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