An Emergency Evacuation Behavior Simulation Method Combines Personality Traits and Emotion Contagion

Simulation emergency evacuation is an important part in the field of safety engineering, affective computing plays a vital role in the popularization of artificial intelligence, computer simulation and human-computer interaction. Inspired by this field, this paper proposes a method for simulating group interactions during emergency evacuation. First, each individual is assigned with dynamic survival needs and psychological quality based on urgent event and the external influence. Second, the emotional interaction of the group is realized based on OCEAN (Openness, Conscientiousness, Extroversion, Agreeableness, Neuroticism) personality trait and the improved CA-SIRS (Cellular Automaton-Susceptible Infected Recovered Susceptible) model. Third, after the perception of the external environment changes, the accident experience and panic level are used as factors of emotion update. At last, the environmental familiarity and nearby flow factors are introduced to path planning process. Based on emotion contagion, this method explores individual's emotional changes in different scenarios and situations. Combined with personality traits and emotional contagion, the experimental results show that the proposed method can simulate dynamic emotional changes in emergency situations in both efficient and reasonable way and provide guidance for emergency evacuation.