Human Emotional State Assessment Based on a Video Portrayal

Author:

Barabanschikov V.A.1ORCID,Suvorova E.V.2ORCID

Affiliation:

1. Moscow State University of Psychology & Education

2. Moscow Institute of Psychoanalysis

Abstract

The article is devoted to the results of approbation of the Geneva Emotion Recognition Test (GERT), a Swiss method for assessing dynamic emotional states, on Russian sample. Identification accuracy and the categorical fields’ structure of emotional expressions of a “living” face are analysed. Similarities and differences in the perception of affective groups of dynamic emotions in the Russian and Swiss samples are considered. A number of patterns of recognition of multi-modal expressions with changes in valence and arousal of emotions are described. Differences in the perception of dynamics and statics of emotional expressions are revealed. GERT method confirmed it’s high potential for solving a wide range of academic and applied problems.

Funder

Russian Science Foundation

Publisher

Federal State-Financed Educational Institution of Higher Education Moscow State University of Psychology and Education

Reference27 articles.

1. Barabanschikov V.A. Dinamika vospriyatiya vyrazhenii litsa. [The dynamics of the perception of facial expressions] Moscow: Publ. Kogito-Tsentr. 2016. 380 p. (In Russ.).

2. Barabanschikov V.A., Zhegallo A.V., Korol’kova O.A. Pertseptivnaya kategorizatsiya vyrazhenii litsa. [Perceptual categorization of facial expressions] Moscow: Publ. Kogito-Tsentr, 2016. 376 p. (In Russ.).

3. Barabanschikov V.A., Korol’kova O.A., Lobodinskaya E.A. Raspoznavanie emotsii v usloviyakh stupenchatoi stroboskopicheskoi ekspozitsii vyrazhenii litsa. Eksperimental’naya psikhologiya. Vol. 11 (4). 2018. pp. 50—69. doi:10.17759/exppsy.2018110405 (In Russ.).

4. Barabanschikov V.A., Suvorova E.V. Metodika Gert: Otsenka Vospriyatiya Dinamicheskikh Emotsional’nykh Ekspressii [GERT: perception process of dynamic facial emotional expressions] Ekopsikhologicheskie issledovaniya — 6: ekologiya detstva i psikhologiya ustoichivogo razvitiya. 2020. pp. 103—107 (In Russ.).

5. Bänziger T., Scherer K.R. Introducing the Geneva Multimodal Emotion Portrayal (GEMEP) corpus. In K.R. Scherer, T. Bänziger, E.B. Roesch (Eds.), Blueprint for affective computing: A sourcebook. Publ. Oxford, England: Oxford university Press. 2010. pp. 271—294. doi:10.1037/a0025827

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