Computational Process of Sharing Emotion: An Authentic Information Perspective
Although results of many psychology studies have shown that sharing emotion achieves dyadic interaction, no report has explained a study of the transmission of authentic information from emotional expressions that can strengthen perceivers. For this study, we used computational modeling, which is a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.849499/full |
| _version_ | 1828346047699615744 |
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| author | Shushi Namba Wataru Sato Koyo Nakamura Koyo Nakamura Koyo Nakamura Katsumi Watanabe Katsumi Watanabe |
| author_facet | Shushi Namba Wataru Sato Koyo Nakamura Koyo Nakamura Koyo Nakamura Katsumi Watanabe Katsumi Watanabe |
| author_sort | Shushi Namba |
| collection | DOAJ |
| description | Although results of many psychology studies have shown that sharing emotion achieves dyadic interaction, no report has explained a study of the transmission of authentic information from emotional expressions that can strengthen perceivers. For this study, we used computational modeling, which is a multinomial processing tree, for formal quantification of the process of sharing emotion that emphasizes the perception of authentic information for expressers’ feeling states from facial expressions. Results indicated that the ability to perceive authentic information of feeling states from a happy expression has a higher probability than the probability of judging authentic information from anger expressions. Next, happy facial expressions can activate both emotional elicitation and sharing emotion in perceivers, where emotional elicitation alone is working rather than sharing emotion for angry facial expressions. Third, parameters to detect anger experiences were found to be correlated positively with those of happiness. No robust correlation was found between the parameters extracted from this experiment task and questionnaire-measured emotional contagion, empathy, and social anxiety. Results of this study revealed the possibility that a new computational approach contributes to description of emotion sharing processes. |
| first_indexed | 2024-04-14T00:20:27Z |
| format | Article |
| id | doaj.art-ecd860f0f24545aeaa44905887d00802 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-14T00:20:27Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-ecd860f0f24545aeaa44905887d008022022-12-22T02:22:58ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-05-011310.3389/fpsyg.2022.849499849499Computational Process of Sharing Emotion: An Authentic Information PerspectiveShushi Namba0Wataru Sato1Koyo Nakamura2Koyo Nakamura3Koyo Nakamura4Katsumi Watanabe5Katsumi Watanabe6Psychological Process Research Team, Guardian Robot Project, RIKEN, Kyoto, JapanPsychological Process Research Team, Guardian Robot Project, RIKEN, Kyoto, JapanDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, AustriaJapan Society for the Promotion of Science, Tokyo, JapanFaculty of Science and Engineering, Waseda University, Tokyo, JapanFaculty of Science and Engineering, Waseda University, Tokyo, JapanFaculty of Arts, Design and Architecture, University of New South Wales, Sydney, NSW, AustraliaAlthough results of many psychology studies have shown that sharing emotion achieves dyadic interaction, no report has explained a study of the transmission of authentic information from emotional expressions that can strengthen perceivers. For this study, we used computational modeling, which is a multinomial processing tree, for formal quantification of the process of sharing emotion that emphasizes the perception of authentic information for expressers’ feeling states from facial expressions. Results indicated that the ability to perceive authentic information of feeling states from a happy expression has a higher probability than the probability of judging authentic information from anger expressions. Next, happy facial expressions can activate both emotional elicitation and sharing emotion in perceivers, where emotional elicitation alone is working rather than sharing emotion for angry facial expressions. Third, parameters to detect anger experiences were found to be correlated positively with those of happiness. No robust correlation was found between the parameters extracted from this experiment task and questionnaire-measured emotional contagion, empathy, and social anxiety. Results of this study revealed the possibility that a new computational approach contributes to description of emotion sharing processes.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.849499/fullsharing emotionfacial expressionsauthenticityMPT modelemotion |
| spellingShingle | Shushi Namba Wataru Sato Koyo Nakamura Koyo Nakamura Koyo Nakamura Katsumi Watanabe Katsumi Watanabe Computational Process of Sharing Emotion: An Authentic Information Perspective Frontiers in Psychology sharing emotion facial expressions authenticity MPT model emotion |
| title | Computational Process of Sharing Emotion: An Authentic Information Perspective |
| title_full | Computational Process of Sharing Emotion: An Authentic Information Perspective |
| title_fullStr | Computational Process of Sharing Emotion: An Authentic Information Perspective |
| title_full_unstemmed | Computational Process of Sharing Emotion: An Authentic Information Perspective |
| title_short | Computational Process of Sharing Emotion: An Authentic Information Perspective |
| title_sort | computational process of sharing emotion an authentic information perspective |
| topic | sharing emotion facial expressions authenticity MPT model emotion |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.849499/full |
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