Dynamic Crowd Aggregation Simulation Using SIR Model Based Emotion Contagion

Abstract

Generating emotion contagion results were very important in crowd simulation field. However, as the individuals often moving dynamically, then computing the contagion process becomes a challenge. In this paper, we focused on the emotion contagion effects on dynamic aggregation process of the virtual pedestrian. Firstly, according to the social force theory, we constructed individuals' moving velocities based on their expectations. Secondly, made an adjacent test to generate the nearer neighbors as emotional contagions usually occurred between neighbors. And then we treated the emotional contagions between individuals and their neighbors as the information spreading process so that we calculated the influences on their moving directions through the emotional information spreading model SIR (Susceptible Infective Removal). Social force for simulating moving individuals and SIR model were adopted by our method to simulate the emotional contagion of the crowd. Experimental results showed that the SIR model can effectively improve the fidelity of emotional interaction process and crowd aggregation.