Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
6-2016
Abstract
This paper aims to develop a system that evaluates the emotional experience of gamers based on physiological changes. A within-subject experiment with 22 participants has been designed to investigate the effects of difficulty level and social playing mode on player emotions and to examine the correlation between each emotion and the physiological changes. We demonstrate the feasibility of using commodity wearable physiological sensing devices to recognize mobile gamer's emotion. Specifically, our system performs 3-level excitement classification at an accuracy of 77.38% and binary classification of happiness state at an accuracy of 73.21%. These classification results show the potential of using commodity wearable sensing devices as a valuable evaluation tool for game designers to gauge user emotions and develop personalized gaming experience.
Keywords
emotion recognition, mobile gaming, physiological sensing, wearable
Discipline
Computer Sciences | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MobiGames '16: Proceedings of the 3rd Workshop on Mobile Gaming, Singapore, June 30
First Page
1
Last Page
6
ISBN
9781450343251
Identifier
10.1145/2934646.2934648
Publisher
ACM
City or Country
New York
Citation
HUYNH, Sinh; LEE, Youngki; PARK, Taiwoo; and BALAN, Rajesh Krishna.
Jasper: Sensing gamers' emotions using physiological sensors. (2016). MobiGames '16: Proceedings of the 3rd Workshop on Mobile Gaming, Singapore, June 30. 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/3305
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2934646.2934648