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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hua Xiang Ren, F. Kuroiwa, S. Peilin Jiang |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan (Hua Xiang; Ren, F.; Kuroiwa, S.) |
| Abstract | Studies on the model of artificial psychology are the first step in the development of human-computer interaction. As affective computing remains unpredictable, creating a reasonable mental model becomes the primary task for building a hybrid system. A pragmatic mental model is also the fundament of some key topics such as recognition and synthesis of emotions. In this paper a mental state transition network is presented and a psychological experiment based on the model is carried out. In this work, we hypothesize that internal mental movements of a human depend on a mental state transition network that is made up of seven discrete emotional states. And we propose a new method to predict the emotional transitional probability distribution by using psychological questionnaires. The transition probability distribution of the model is calculated through a psychological experiment and the model provided a relatively high precision rate of 0.872 for the 50 random data examples used in an experimentation. |
| File Size | 173546 |
| File Format | |
| ISBN | 0780393031 |
| DOI | 10.1109/ICIA.2005.1635127 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Emotion recognition Computational modeling Computer simulation Humans Psychology Hidden Markov models Probability distribution Cognitive science Artificial intelligence Intelligent robots |
| Content Type | Text |
| Resource Type | Article |
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