Facing Empathy: Reducing Facial-Differences Bias Through a Story
4 affiliations
- 1Computing Science, University of Alberta, Edmonton, Canada
- 2Psychology, University of Alberta, Edmonton, Canada
- 3Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
- 4Rehabilitation Medicine, University of Alberta, Edmonton, Canada
Abstract
Objective: This study investigated if an empathy-evoking vignette could reduce facial differences bias, while considering gender.
Design: Participants (N = 124) were randomly assigned to read either an empathy-evoking vignette or nothing, after which they completed indirect and direct bias measures.
Setting: The study was conducted entirely online.
Participants: Those completing the study were members of the general public, none of which had a facial difference.
Interventions: Participants either read a short, empathy-evoking vignette or nothing before then completing the tasks.
Main Outcome Measures: The indirect measure of bias was an implicit association task. Explicit measures of bias were questions about preferences and attitudes toward people with facial differences.
Results: Reading the vignette led to lower bias on indirect and direct measures in females, whereas in the small sample of males, vignette males tended toward greater bias than no-vignette males. Although we tried to expand insights into bias in different genders, we did not have enough non-binary participants.
Conclusion: This study showed that empathy-evoking vignettes can attenuate facial differences bias in females but may inadvertently heighten bias in males, underscoring the moderating role of gender in narrative-based interventions. Future work should explore diverse narrative types and perspectives, using a wider range of stimuli (varied facial differences, genders, ethnicities) and participant genders, and should incorporate gender into analyses of bias.
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BibTeX
@article{chouinard2026facing,
title = {{Facing Empathy: Reducing Facial-Differences Bias Through a Story}},
author = {Brea Chouinard and Mary Cheuk and William Hodgetts and Jacqueline Cummine},
journal = {The Cleft Palate-Craniofacial Journal},
year = {2026},
month = jun,
doi = {10.1177/10556656261455305},
url = {https://doi.org/10.1177/10556656261455305},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Facing Empathy: Reducing Facial-Differences Bias Through a Story
AU - Brea Chouinard
AU - Mary Cheuk
AU - William Hodgetts
AU - Jacqueline Cummine
PY - 2026
DA - 2026/06/22
JO - The Cleft Palate-Craniofacial Journal
DO - 10.1177/10556656261455305
UR - https://doi.org/10.1177/10556656261455305
AB - Objective: This study investigated if an empathy-evoking vignette could reduce facial differences bias, while considering gender. Design: Participants (N = 124) were randomly assigned to read either an empathy-evoking vignette or nothing, after which they completed indirect and direct bias measures. Setting: The study was conducted entirely online. Participants: Those completing the study were members of the general public, none of which had a facial difference. Interventions: Participants either read a short, empathy-evoking vignette or nothing before then completing the tasks. Main Outcome Measures: The indirect measure of bias was an implicit association task. Explicit measures of bias were questions about preferences and attitudes toward people with facial differences. Results: Reading the vignette led to lower bias on indirect and direct measures in females, whereas in the small sample of males, vignette males tended toward greater bias than no-vignette males. Although we tried to expand insights into bias in different genders, we did not have enough non-binary participants. Conclusion: This study showed that empathy-evoking vignettes can attenuate facial differences bias in females but may inadvertently heighten bias in males, underscoring the moderating role of gender in narrative-based interventions. Future work should explore diverse narrative types and perspectives, using a wider range of stimuli (varied facial differences, genders, ethnicities) and participant genders, and should incorporate gender into analyses of bias.
SN - 1055-6656
SN - 1545-1569
ER -