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Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison

Results from research with computer-generated faces have demonstrated that participants are able to make different trait inferences to different generated faces. However, only a few studies using computer-generated faces with cross-cultural samples have been done. This study compared the facial trai...

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Autores principales: Stahelski, Anthony, Radeke, Mary Katherine, Reavis, Maxie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406511/
https://www.ncbi.nlm.nih.gov/pubmed/37554135
http://dx.doi.org/10.3389/fpsyg.2023.1174662
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author Stahelski, Anthony
Radeke, Mary Katherine
Reavis, Maxie
author_facet Stahelski, Anthony
Radeke, Mary Katherine
Reavis, Maxie
author_sort Stahelski, Anthony
collection PubMed
description Results from research with computer-generated faces have demonstrated that participants are able to make different trait inferences to different generated faces. However, only a few studies using computer-generated faces with cross-cultural samples have been done. This study compared the facial trait inference results from India and the United States, using three validated neutral expression computer-generated faces from the University of Chicago Perception and Judgment Lab database as facial stimuli. The three faces varied in perceived threat. Participants were asked about the attractiveness, pleasing-ness (to look at), honesty, and potential threat in each of the three faces. Results indicated that participants from both cultural samples made the same inferences to the three faces; participants rated the attractiveness, pleasing-ness, and honesty highest in the low threat face and lowest in the high threat face. Indian participants perceive the high threat face to be less threatening than the United States participants. Participants were also asked about the emotional expression on each of the faces, even though the faces were presumably neutral. United States participants were significantly more likely to indicate that the faces in all three threat conditions were emotionally neutral, compared to Indian participants, reflecting a cultural In-group bias, in which members of a culture are more accurately able to identify expressions on faces from their own culture.
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spelling pubmed-104065112023-08-08 Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison Stahelski, Anthony Radeke, Mary Katherine Reavis, Maxie Front Psychol Psychology Results from research with computer-generated faces have demonstrated that participants are able to make different trait inferences to different generated faces. However, only a few studies using computer-generated faces with cross-cultural samples have been done. This study compared the facial trait inference results from India and the United States, using three validated neutral expression computer-generated faces from the University of Chicago Perception and Judgment Lab database as facial stimuli. The three faces varied in perceived threat. Participants were asked about the attractiveness, pleasing-ness (to look at), honesty, and potential threat in each of the three faces. Results indicated that participants from both cultural samples made the same inferences to the three faces; participants rated the attractiveness, pleasing-ness, and honesty highest in the low threat face and lowest in the high threat face. Indian participants perceive the high threat face to be less threatening than the United States participants. Participants were also asked about the emotional expression on each of the faces, even though the faces were presumably neutral. United States participants were significantly more likely to indicate that the faces in all three threat conditions were emotionally neutral, compared to Indian participants, reflecting a cultural In-group bias, in which members of a culture are more accurately able to identify expressions on faces from their own culture. Frontiers Media S.A. 2023-07-24 /pmc/articles/PMC10406511/ /pubmed/37554135 http://dx.doi.org/10.3389/fpsyg.2023.1174662 Text en Copyright © 2023 Stahelski, Radeke and Reavis. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Stahelski, Anthony
Radeke, Mary Katherine
Reavis, Maxie
Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison
title Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison
title_full Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison
title_fullStr Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison
title_full_unstemmed Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison
title_short Social perception inferences of computer-generated faces: an Asian Indian and United States cultural comparison
title_sort social perception inferences of computer-generated faces: an asian indian and united states cultural comparison
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406511/
https://www.ncbi.nlm.nih.gov/pubmed/37554135
http://dx.doi.org/10.3389/fpsyg.2023.1174662
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