Abstract
Basic Emotions Theory has been the most dominant theory in producing techniques for emotion perception studies. Such methodologies do not take into account that social factors may have an effect on how facial expressions are perceived. Gossip—a common but understudied tool of human communication—occurs in social interactions, so lends itself well to being considered as a social arena where facial expressions are produced. This paper takes the novel approach of using the Facial Action Coding System (FACS) to analyse facial expressions produced in response to gossip and to model the relationship with people’s perceptions of the same social interactions. The results show similar patterns of relationships between action units and with social-related or emotion-related labels. We suggest that social-related labelling for such perceptions should be considered as much as the traditional emotion-related labelling commonly used when creating emotion perception experimental paradigms.
Original language | English |
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Title of host publication | Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 8 |
Publication status | Published - 16 Jan 2024 |
Event | Affective Computing and Intelligent Interaction 2023 - MIT, Cambridge, United States Duration: 10 Sept 2023 → 13 Sept 2023 https://acii-conf.net/2023/ |
Publication series
Name | International Conference on Affective Computing and Intelligent Interaction (ACII): Proceedings |
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ISSN (Print) | 2156-8103 |
ISSN (Electronic) | 2156-8111 |
Conference
Conference | Affective Computing and Intelligent Interaction 2023 |
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Abbreviated title | ACII2023 |
Country/Territory | United States |
City | Cambridge |
Period | 10/09/2023 → 13/09/2023 |
Internet address |