1
|
Brooks JA, Kim L, Opara M, Keltner D, Fang X, Monroy M, Corona R, Tzirakis P, Baird A, Metrick J, Taddesse N, Zegeye K, Cowen AS. Deep learning reveals what facial expressions mean to people in different cultures. iScience 2024; 27:109175. [PMID: 38433918 PMCID: PMC10906517 DOI: 10.1016/j.isci.2024.109175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 09/05/2023] [Accepted: 02/06/2024] [Indexed: 03/05/2024] Open
Abstract
Cross-cultural studies of the meaning of facial expressions have largely focused on judgments of small sets of stereotypical images by small numbers of people. Here, we used large-scale data collection and machine learning to map what facial expressions convey in six countries. Using a mimicry paradigm, 5,833 participants formed facial expressions found in 4,659 naturalistic images, resulting in 423,193 participant-generated facial expressions. In their own language, participants also rated each expression in terms of 48 emotions and mental states. A deep neural network tasked with predicting the culture-specific meanings people attributed to facial movements while ignoring physical appearance and context discovered 28 distinct dimensions of facial expression, with 21 dimensions showing strong evidence of universality and the remainder showing varying degrees of cultural specificity. These results capture the underlying dimensions of the meanings of facial expressions within and across cultures in unprecedented detail.
Collapse
Affiliation(s)
- Jeffrey A. Brooks
- Research Division, Hume AI, New York, NY 10010, USA
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Lauren Kim
- Research Division, Hume AI, New York, NY 10010, USA
| | | | - Dacher Keltner
- Research Division, Hume AI, New York, NY 10010, USA
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Xia Fang
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, China
| | - Maria Monroy
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Rebecca Corona
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | - Alice Baird
- Research Division, Hume AI, New York, NY 10010, USA
| | | | | | | | - Alan S. Cowen
- Research Division, Hume AI, New York, NY 10010, USA
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| |
Collapse
|
2
|
Ping Y, Ouyang Y, Zhang M, Zheng W. Perceiving the outlier in the crowd: The influence of facial identity. Perception 2024; 53:163-179. [PMID: 38158215 DOI: 10.1177/03010066231218519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
The accurate perception of groups with outliers can help us identify potential risks. However, it is unclear how outliers affect the perception of group emotion. To address this question, we conducted a study on group emotion perception in the context of facial identity. We presented 74 participants with pictures of crowds, and asked them to evaluate the valence ratios and intensity of the crowd by means of the Emotional Aperture Measure. The results revealed that outlier emotions were often overestimated within crowds. Moreover, we found that the emotional expression of a close friend modulated the perception of outliers. Specifically, when a close friend expressed the group emotion, participants overestimated the outlier less than when a close friend expressed the outlier emotion. These results suggest that people can detect outliers within groups, and that their perception of group emotion is influenced by close friends. Thus, we provide evidence that facial identity affects group emotion perception.
Collapse
Affiliation(s)
- Yuting Ping
- Capital Medical University, People's Republic of China
| | - Yiyun Ouyang
- Capital Medical University, People's Republic of China
| | - Manhua Zhang
- Capital Medical University, People's Republic of China
| | - Wen Zheng
- Capital Medical University, People's Republic of China
| |
Collapse
|