Abstract
This chapter considers affect dynamics which simulates the relation among the emotions, mood, and personality and updates emotional states for long-term human-agent interactions. Affect dynamics is an important component of the affective system which also contains affect detection, affect appraisal, and affect response and makes indispensable contributions to the personification, believability, and autonomy of autonomous virtual humans (AVH). We first examine basic psychological concepts and computational models for affect dynamics. Then, we present a psychologically plausible affect dynamics algorithm in which the personality influences the updating of emotional states during the whole interactions, rather than just at the beginning as in many previous works. This makes affect dynamics characterized by the personality, which is shown to be important for long-term interactions.
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Zhang, J., Zheng, J., Magnenat-Thalmann, N. (2016). Modeling Personality, Mood, and Emotions. In: Magnenat-Thalmann, N., Yuan, J., Thalmann, D., You, BJ. (eds) Context Aware Human-Robot and Human-Agent Interaction. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-19947-4_10
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DOI: https://doi.org/10.1007/978-3-319-19947-4_10
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