Facial misfits accelerate stereotype-based associative learning.
Sci Rep
; 14(1): 19320, 2024 08 20.
Article
em En
| MEDLINE
| ID: mdl-39164271
ABSTRACT
Counterstereotypes challenge the deleterious effects that gender-typed beliefs exert on people's occupational aspirations and lifestyle choices. Surprisingly, however, the critical issue of how readily unexpected person-related knowledge can be acquired remains poorly understood. Accordingly, in two experiments in which the facial appearance of targets was varied to manipulate goodness-of-stereotype-fit (i.e., high vs. low femininity/masculinity), here we used a probabilistic selection task to probe the rate at which counter-stereotypic and stereotypic individuals can be learned. Whether occupational (Expt. 1) or trait-related (Expt. 2) gender stereotypes were explored, a computational analysis yielded consistent results. Underscoring the potency of surprising information (i.e., facial misfits), knowledge acquisition was accelerated for unexpected compared to expected persons, both in counter-stereotypic and stereotypic learning contexts. These findings affirm predictive accounts of social perception and speak to the optimal characteristics of interventions designed to reduce stereotyping outside the laboratory.
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Base de dados:
MEDLINE
Assunto principal:
Estereotipagem
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article