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Computational Process of Sharing Emotion: An Authentic Information Perspective

  • Namba, Shushi1
  • Sato, Wataru1
  • Nakamura, Koyo2, 3, 4
  • Watanabe, Katsumi4, 5
  • 1 Psychological Process Research Team, Guardian Robot Project, RIKEN, Kyoto , (Japan)
  • 2 Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna , (Austria)
  • 3 Japan Society for the Promotion of Science, Tokyo , (Japan)
  • 4 Faculty of Science and Engineering, Waseda University, Tokyo , (Japan)
  • 5 Faculty of Arts, Design and Architecture, University of New South Wales, Sydney, NSW , (Australia)
Published Article
Frontiers in Psychology
Frontiers Media SA
Publication Date
May 12, 2022
DOI: 10.3389/fpsyg.2022.849499
  • Psychology
  • Original Research


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.

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