A FCM based approach for emotion prediction in educational game

During playing educational game, the emotion of players can be affected by many aspects, for example the play time, the study time, and achievements etc. Player´s emotional status is an internal, dynamic and comprehensive factor that is hard to be detected or predicted by system, which may consist of the interestingness to the game, the internal status of player, or the excitement to the score and so on. In order to predict student´s emotional status and to simulate relative emotion state transitions during playing game, we propose a novel method, based on Fuzzy Cognitive Maps (FCMs) modeling method. Several experiments and simulations are provided to illustrate the approach and modeling process in this paper. The results show that players´emotion states can be simulated and computed relatively in educational game by the method.