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Emotion recognition in simulated social interactions

Mumenthaler, C., Sander, D. and Manstead, Antony Stephen Reid 2020. Emotion recognition in simulated social interactions. IEEE Transactions on Affective Computing 11 (2) , pp. 308-312. 10.1109/TAFFC.2018.2799593

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Abstract

Social context plays an important role in everyday emotional interactions, and others' faces often provide contextual cues in social situations. Investigating this complex social process is a challenge that can be addressed with the use of computergenerated facial expressions. In the current research, we use synthesized facial expressions to investigate the influence of socioaffective inferential mechanisms on the recognition of social emotions. Participants judged blends of facial expressions of shame-sadness, or of anger-disgust, in a target avatar face presented at the center of a screen while a contextual avatar face expressed an emotion (disgust, contempt, sadness) or remained neutral. The dynamics of the facial expressions and the head/gaze movements of the two avatars were manipulated in order to create an interaction in which the two avatars shared eye gaze only in the social interaction condition. Results of Experiment 1 revealed that when the avatars engaged in social interaction, target expression blends of shame and sadness were perceived as expressing more shame if the contextual face expressed disgust and more sadness when the contextual face expressed sadness. Interestingly, perceptions of shame were not enhanced when the contextual face expressed contempt. The latter finding is probably attributable to the low recognition rates for the expression of contempt observed in Experiment 2.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1949-3045
Date of First Compliant Deposit: 29 January 2018
Date of Acceptance: 24 January 2018
Last Modified: 04 Jun 2020 09:13
URI: http://orca-mwe.cf.ac.uk/id/eprint/108534

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