THE EMOTION INTENSITY BASED ROBUST ADAPTATION MODEL IN INTERACTIVE GAME

Our system was designed as a therapeutic tool to facilitate the emotional development of children. The proposed system attempts to recognize a child's emotions and estimate their intensity of emotion in a game playing situation. A social agent uses cognitive and non-cognitive factors to estimate the real-time intensity of emotions of the child playing the game. In the system, an autonomus/intelligent agent tries to change the game level according to a child's intensity of emotion for the purpose of encouraging the child to express his/her emotion. This autonomus/intelligent agent uses a robust adaptation model based on the intensity of the child's emotions. Also, an animated pedagogical agent was designed to encourage the child to express emotion using several instructions. The pedagogical agent considers the child's emotions, intensity of emotion, and game states for creating the above instructions. The results showed that the affective gesture recognition model we developed recognized a child's emotion with a considerably high rate of over 82.5%, and the social agent(estimate of intensity of emotion)had a strong relationship with observers'feedback, except in low intensity levels.