Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
1-2016
Abstract
Understanding emotions of gamers can benefit game designers in various ways. How gamers feel while they playing a game can be treated as valuable user feedback to improve the development process of that game. Sensing player emotions also enables game designers to create adaptive game that can adjust itself to provide best gaming experience based on player emotions. However, how to effectively evaluate emotions of gamers is still an open research challenge. Two common techniques to evaluate emotional state are using self-assessments such as questionnaires or interviews, and to recognize expressed emotions by analyzing videos or images of facial expression, body languages, and gesture. Although the self-report approach is convenient and unobtrusive, it requires users' cognitive attention. The vision-based approach also has some drawbacks that users' expressions do not necessarily reflect what they actually feel and there is also concern about privacy as images of users are captured. In this work, we implement Jasper, a system using on wearable physiological sensors to recognize emotions of gamers. Compared to the mentioned approaches, physiological sensors system can recognize emotions continuously without interrupting user experience. Moreover, the physiological signals are involuntary and mostly activated by the Autonomic Nervous System, which are useful to detect actual emotions and robust to expression manipulation (e.g. social making). The contribution of this work is to demonstrate the feasibility of using commodity and unobtrusive wearable biosensors to recognize mobile gamer emotions.
Discipline
Computer Sciences | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30
First Page
104
Last Page
104
ISBN
9781450344166
Identifier
10.1145/2938559.2938576
Publisher
ACM
City or Country
New York
Citation
HUYNH, Sinh; BALAN, Rajesh Krishna; and LEE, Youngki.
Demo: Sensing gamers' emotions using physiological sensors. (2016). MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, June 26-30. 104-104.
Available at: https://ink.library.smu.edu.sg/sis_research/3280
Copyright Owner and License
Publisher
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/10.1145/2938559.2938576