Publication Type

Conference Proceeding Article

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

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1145/2934646.2934648

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