An advanced mental state transition network and psychological experiments

Authors:
Peilin Jiang;Hua Xiang;Fuji Ren;Shingo Kuroiwa
Affiliations:
Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima, Japan
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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Abstract

The study of human-computer interaction is now the most popular research domain overall computer science and psychology science. The most of essential issues recently focus on not only the information about the physical computing but also the affective computing. The emotion states of human being can dramatically affect their actions. It is important for a computer to understand what the people feel at the time. In this paper, we propose a novel method to predict the future emotion state of person depending on the current emotion state and affective factors by an advanced mental state transition network [1]. The psychological experiment with about 100 participants has been done to obtain the structure and the coefficients of the model. The test experiment also has been done to certificate the prediction validity of this model.