An Emotion Generation Model for Interactive Virtual Robots

Making a computer generate its own emotion is an important part of the affective computing, and this would have wide applications in human-computer interaction and artificial intelligence. In this paper, we will describe an emotion generation model for a multimodal virtual human. The relationship among the emotion, mood and personality are discussed firstly, and the PAD (pleasure-arousal-dominance) emotion space is used to define the emotion and the mood. Then, we use a random graphical model to generate emotion based on the evaluation of the overall influence of mood, previous emotion and the outside stimulations. Finally, a 3D virtual human head with facial expressions is designed to show the emotion generation outputs. Experimental results demonstrate that the emotion generation model based on random graphs works effectively and meets the basic principle of human emotion generation.

[1]  Kwanyong Lee,et al.  Modeling of emotion generation by various eliciting factors for anthropomorphic agents , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[2]  P. Ekman.  Emotion in the human face , 1982 .

[3]  Alan F. Murray,et al.  Continuous restricted Boltzmann machine with an implementable training algorithm , 2003 .

[4]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[5]  Kwangyong Lee.  Integration of various emotion eliciting factors for life-like agents , 1999, MULTIMEDIA '99.

[6]  A. Mehrabian.  Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament , 1996 .

[7]  Patrick Gebhard,et al.  ALMA: a layered model of affect , 2005, AAMAS '05.

[8]  Reid G. Simmons,et al.  Modeling Affect in Socially Interactive Robots , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.