Felt emotion and social context determine the intensity of smiles in a competitive video game

Author

Gratch, Jonathan ; Lin Cheng ; Marsella, Stacy ; Boberg, Jill

Author_Institution

Inst. for Creative Technol., Univ. of Southern California, Playa Vista, CA, USA

fYear

2013

fDate

22-26 April 2013

Firstpage

1

Lastpage

8

Abstract

The present study uses automatic facial expression recognition software to examine the relationship between social context and emotional feelings on the expression of emotion, to test claims that facial expressions reflect social motives rather than felt emotion. To vary emotional feelings, participants engaged in a competitive video game. Deception was used to systematically manipulate perceptions of winning or losing. To vary social context, participants played either with friends or strangers. The results support the hypothesis of Hess and colleagues that smiling is determined by both factors. The results further highlight the value of automatic expression recognition technology for psychological research and provide constraints on inferring emotion from facial displays.

Keywords

computer games; emotion recognition; face recognition; psychology; Hess hypothesis; automatic expression recognition technology; automatic facial expression recognition software; competitive video game; emotion expression; emotion inference; emotional feelings; facial displays; felt emotion; psychological research; smile intensity; social context; social motives; Analysis of variance; Appraisal; Atmospheric measurements; Context; Games; Mice; Particle measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-5545-2

Electronic_ISBN

978-1-4673-5544-5

Type

conf

DOI

10.1109/FG.2013.6553792

Filename

6553792