Automated Analysis of Facial Cues from Videos as a Potential Method for Differentiating Stress and Boredom of Players in Games
Joint Authors
Backlund, Per
Bevilacqua, Fernando
Engström, H.
Source
International Journal of Computer Games Technology
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Facial analysis is a promising approach to detect emotions of players unobtrusively; however approaches are commonly evaluated in contexts not related to games or facial cues are derived from models not designed for analysis of emotions during interactions with games.
We present a method for automated analysis of facial cues from videos as a potential tool for detecting stress and boredom of players behaving naturally while playing games.
Computer vision is used to automatically and unobtrusively extract 7 facial features aimed at detecting the activity of a set of facial muscles.
Features are mainly based on the Euclidean distance of facial landmarks and do not rely on predefined facial expressions, training of a model, or the use of facial standards.
An empirical evaluation was conducted on video recordings of an experiment involving games as emotion elicitation sources.
Results show statistically significant differences in the values of facial features during boring and stressful periods of gameplay for 5 of the 7 features.
We believe our approach is more user-tailored, convenient, and better suited for contexts involving games.
American Psychological Association (APA)
Bevilacqua, Fernando& Engström, H.& Backlund, Per. 2018. Automated Analysis of Facial Cues from Videos as a Potential Method for Differentiating Stress and Boredom of Players in Games. International Journal of Computer Games Technology،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1170302
Modern Language Association (MLA)
Bevilacqua, Fernando…[et al.]. Automated Analysis of Facial Cues from Videos as a Potential Method for Differentiating Stress and Boredom of Players in Games. International Journal of Computer Games Technology No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1170302
American Medical Association (AMA)
Bevilacqua, Fernando& Engström, H.& Backlund, Per. Automated Analysis of Facial Cues from Videos as a Potential Method for Differentiating Stress and Boredom of Players in Games. International Journal of Computer Games Technology. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1170302
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170302