An intensity-based personalized affective model

Emotion plays an important role in human life, especially in affective human-computer interaction. Affective computing and artificial psychology are new research fields that involve computer and emotions, they have the same key research aspect, affective modeling. To improve the existing affective models, this article constructs a novel intensity-based affective model that incorporates personality and some psychological factors. To simulate the transitional process of emotions better, some important psychological factors are considered in this affective model, such as activation threshold, emotion elicitors, emotion decay, emotion interactions and so on. Moreover, on the basis of the model, an emotional prediction system is designed and implemented. After volunteers´ tests, the system got good effect.