Conference Proceeding Article
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.
emotion recognition, mobile gaming, physiological sensing, wearable
Computer Sciences | Software Engineering
Software and Cyber-Physical Systems
MobiGames '16: Proceedings of the 3rd Workshop on Mobile Gaming, Singapore, June 30
City or Country
HUYNH NGUYEN PHAN 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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3305
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