A low-cost scalable solution for monitoring affective state of students in e-learning environment using mouse and keystroke data

Authors:
Po-Ming Lee;Wei-Hsuan Tsui;Tzu-Chien Hsiao
Affiliations:
Institute of Computer Science and Engineering, National Chiao Tung University, Taiwan (R.O.C.);Institute of Biomedical Engineering, College of Computer Science, National Chiao Tung University, Taiwan (R.O.C.);Institute of Computer Science and Engineering, National Chiao Tung University, Taiwan (R.O.C.),Institute of Biomedical Engineering, College of Computer Science, National Chiao Tung University, Tai ...
Venue:
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Year:
2012

Citing 1
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Identifying emotional states using keystroke dynamics

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Abstract

This study proposed a user-independent intelligent system that reports the affective state of students in a non-intrusive and low-cost manner by utilizing mouse record and keystroke data collected in dynamic world. A scalable client-server architecture for student affective state monitoring in e-learning environment is also demonstrated.