Abstract : Quantitative methods in the domain of player experience evaluation provide continuous and real-time analyses of player experiences. However, current quantitative methods are mostly either too confined within in-game statistics, or require non-typical laboratory play setups to monitor real-life behavior. This paper presents preliminary results on the feasibility of using facial expressions analysis as a natural quantitative method for evaluating player experiences. Correlations were performed between the facial expressions intensities and self-reported Game Experience Questionnaire (GEQ) dimensions of players in two video games.
Type de document :
Communication dans un congrès
Yusuf Pisan; Nikitas M. Sgouros; Tim Marsh. 13th International Conference Entertainment Computing (ICEC), Oct 2014, Sydney, Australia. Springer, Lecture Notes in Computer Science, LNCS-8770, pp.229-231, 2014, Entertainment Computing – ICEC 2014. 〈10.1007/978-3-662-45212-7_31〉
https://hal.inria.fr/hal-01408557
Contributeur : Hal Ifip
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Soumis le : lundi 5 décembre 2016 - 10:17:25
Dernière modification le : lundi 5 décembre 2016 - 10:24:49
Document(s) archivé(s) le : jeudi 23 mars 2017 - 00:35:47
Chek Tien Tan, Sander Bakkes, Yusuf Pisan. Correlation between Facial Expressions and the Game Experience Questionnaire. Yusuf Pisan; Nikitas M. Sgouros; Tim Marsh. 13th International Conference Entertainment Computing (ICEC), Oct 2014, Sydney, Australia. Springer, Lecture Notes in Computer Science, LNCS-8770, pp.229-231, 2014, Entertainment Computing – ICEC 2014. 〈10.1007/978-3-662-45212-7_31〉. 〈hal-01408557〉
