Abstract: As the positions of crowd usually change dynamically, then computing the contagion process becomes a challenge. There current algorithms were too time consuming to be adopted as they needed to calculate the reactions between every two objects. In order to solve this problem, a social force based contagion computing algorithm with GPU acceleration was provided. Individuals’ affection fields were projected onto two dimensional mesh grid and represented by the nine-box diary; The social force reactions between individual and nearest neighbors were computed to get the moving position; The contagion results from nearest neighbors were calculated. All of these steps were paralleled processing by GPU. Experiments show that the algorithm can efficiently increase the accuracy and speed of emotion contagion.

Key words: affective computing, emotion contagion, social force, GPU acceleration