Emotion generation for virtual human using Cognitive Map

Affective computing is an indispensable aspect in harmonious human-computer interaction and artificial intelligence. Making computers have the ability of generating emotions is a challenging task of affective computing. The paper first introduces the basic affective elements, and the representation of affections in a computer. An emotion generation model using Cognitive Map is proposed. The model is used to generate emotion based on the evaluation of the overall influences of the mood, the personality, the previous emotion and the external stimulations. Then the paper describes a method to build a mapping from the emotion space to the facial expression space with a competitive network, and the implementation of facial expression animation. Finally, the paper constructs an intelligent virtual human system with facial expression, voice and vision communication. Experimental results show that the emotion generation model using Cognitive Map can produce realistic emotions similar to those of a real human.