Abstract
According to the basic emotion theories, this paper defines emotion induced variable, personality space, mood space, emotion space, mood attenuation and emotion attenuation, then induces mood and emotion attenuation cure and builds the mapping relationship among personality, mood and emotion. Emotional decision-making model is also presented according to mood updating equation and emotion updating equation and it is used for facial expression synthesis. The model constructed can reasonably reflect the law of changes of human emotions and the wave process of the mood state and emotion state of people with introversive or extroversive personality under external stimuli of five single-attribute signals and multi-attribute signal. A facial expression robot is built to work as the experiment platform to produce expression outputs. The simulation results demonstrate that the affective model can better simulate the dynamic process of the change of emotion and mood and provide a new mechanism for the affective decision-making of human-computer interaction systems.
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References
Marvin M (1985) The society of mind. Simon & Schuster, New York
Picard RW (1995) Affective computing. MIT Press, Cambridge
Nagamachi M (1995) Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int J Ind Ergon 15:3–11
Wang ZL (2000) Artificial psychology—a most accessible science research to human brain. J Univ Sci Technol Beijing 22(5):478–481
Ortony A, Clore GL, Collins A (1988) The cognitive structure of emotions. Cambridge University Press, Cambridge
Scherer KR (1984) On the nature and function of emotion: a component process approach. In: Scherer KR, Ekman P (eds) Approaches to emotion. Erlbaum, Hillsdale, pp 293–317
Wei ZH (2002) Affective computing research of emotional robots based on artificial psychology theories. Dissertation. University of Science and Technology Beijing
Breazeal C (2003) Emotion and sociable humanoid robots. Int J Hum-Comput Stud 59:119–155
Teng S, Wang Z, Wang L, Liu J, Xie L (2006) Affective computing model based on Markov chain. Computing Engineering 31(5):17–19
Miwa H, Itoh K et al. (2004) Effective emotional expressions with emotion expression humanoid robot WE-4RII. In: Proceedings of international conference on intelligent robots and systems (IROS), Sendai, Japan, pp 1400–1406
Miwa H, Takanobu H, Takanishi A (2002) Humanlike head robot WE-3R for emotion human-robot interaction. In: Proceedings of the 14th CISM-IFToMM symposium, Udine, Italy, pp 519–526
Wiggins J (1996) The five-factor model of personality: theoretical perspective. The Guilford Press, New York
Mehrabian A (1996) Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament. Curr Psychol 14:261–292
Pantic M, Rothkrantz LJM (1999) An expert system for multiple emotion classification of facial expression. In: The 11th IEEE international conference on tools with artificial intelligence (ICTAI), Chicago, Illinois, US, pp 8–10
Thalmann M, Kalra P, Escher M (1998) Face to virtual face. Proc IEEE 86(5):870–883
Ekman P (1982) Emotion in the human face. Cambridge University Press, Cambridge
Mehrabian A (1996) Analysis of the big-five-personality factors in term of the PAD temperament model. Aust J Psychol 48(2):86–92
Gebhard P (2005) ALMA-A layered model of affect. In: Proceedings of the 4th international joint conference on autonomous agents and multi-agent systems (AAMAS), Utrecht, Netherlands, pp 29–36
Cohen MM, Massara DW (1993) Modeling co-articulation in synthetic visual speech. In: Thalmann NM, Thalmann D (eds) Model and technique in computer animation, Tokyo, Japan, pp 139–156
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Shi, Z., Wei, J., Wang, Z. et al. Affective transfer computing model based on attenuation emotion mechanism. J Multimodal User Interfaces 5, 3–18 (2012). https://doi.org/10.1007/s12193-011-0071-7
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DOI: https://doi.org/10.1007/s12193-011-0071-7