Learning processes are becoming increasingly mediated by computers and the internet. E-learning, especially Web-based learning, is penetrating into various fields. An ordinary e-Learning system usually evaluates learners' states from their inputs to the pre-programmed questions. The time-sequentially changing emotions of learners are important for the management of the learning environment, just like face to-face classes. The present paper describes an emotion diagnosis system that can judge the emotions of an e-Learning user based on his/her eye movement speed and fixation duration time. The criteria for classifying four pairs of semantically different emotions (eight emotions in total) were established through a time-sequential subjective evaluation of the emotions of the subject and a time-sequential analysis of the eye movements of the subject. The achieved coincidence ratios between the discriminated emotions based on the criteria of emotion diagnosis and the time-sequential subjective evaluation for "tired" and "concentrating" were 77% and 60%, respectively. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Nosu, K., Koike, T., & Shigeta, A. (2010). Time-Sequential emotion diagnosis based on the eye movement of the user in support of web-based e-learning. Communications in Computer and Information Science, 54, 266–274. https://doi.org/10.1007/978-3-642-12035-0_26
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