Facial Stereotype Bias Is Mitigated by Training
| Autor: | Jim Freeman, Kao-Wei Chua |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Social Psychology
Statistical learning media_common.quotation_subject 05 social sciences Stereotype (UML) Impression formation 050109 social psychology 050105 experimental psychology Clinical Psychology Facial appearance Trustworthiness Face perception Personality 0501 psychology and cognitive sciences Psychology Cognitive psychology media_common |
| Zdroj: | Social Psychological and Personality Science. 12:1335-1344 |
| ISSN: | 1948-5514 1948-5506 |
| Popis: | People automatically infer others’ personality (e.g., trustworthiness) based on facial appearance, and such facial stereotype biases predict real-world consequences across political, legal, and business domains. The present research tested whether these biases can be mitigated through counterstereotype training aimed at reconfiguring the associations between specific facial appearances and social traits. Across six studies and a replication, a behavioral counterstereotype training consistently reduced or eliminated facial stereotype biases for White male faces in the context of economic trust games, hiring decisions, and even automatic evaluations assessed via evaluative priming. Together, the results demonstrate a fundamental malleability in facial stereotyping related to trustworthiness, with a minimal training able to mitigate the tendency to activate and apply long-held, highly automatized facial stereotypes. These findings suggest that face impressions are more flexible than typically appreciated, and they provide a potential inroad toward combating our ingrained biases based on facial appearance. |
| Databáze: | OpenAIRE |
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