基于Markov决策过程的交互虚拟人情感计算模型

情感在生物体的交流和适应性方面起到了关键作用。同样，交互虚拟人也需要有恰如其分的表达情感的能力。由于具有情感交互能力的虚拟人在虚拟现实、电子教育、娱乐等领域均有着广阔的应用前景，当前，在虚拟人中加入情感成分的研究受到了越来越多的重视。本文提出了一个人工心理的情感计算模型，模型用马尔可夫过程来描述情感的变化过程，并且使用马尔可夫决策过程建立了情感、个性与环境之间的联系，并且我们把该模型应用到了一个交互虚拟人系统中。研究结果表明，模型能够构建具有不同性格特征的虚拟人，使之产生较为自然的情感反应。

Emotion Model of Interactive Virtual Humans Based on MDP

Emotion plays an essential role in adaptation and social communication in organism. Similarly, appropriately timed and clearly expressed emotion is a central required for believable interactive virtual humans. Presently, incorporating emotion into virtual humans is gain increasing attention in academia and industry. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, e-learning, entertainment, etc. This paper discusses a system that allows the design of emotion for interactive virtual human. We introduce an emotion model of artificial psychology, in which the transition of emotion can be viewed as a Morkov process and the relation of emotion, external incentive and personality can be describes by Morkov decision processes(MDP). In order to demonstrate the approach, we integrate the emotion model into a system composed of voice recognition and a realistic facial model. Thus, the model can be used for generating a variety of emotional expression of autonomous, interactive virtual humans.