Differential Effects of Specific Negative Emotions on Individual Risk Preference Behaviors under Social Accidents: An Analysis from the Perspective of Affective Computing Theory

Traditionally studies on the affect of emotions on the behavioral decisionmaking assume that, individuals with negative emotions are risk-seeking. However in real situations, individual decision-making behaviors show different tendencies of risk preference, thus more and more scholars are attracted to analyze the effect of specific negative emotion on individual risk preference behaviors. From the perspective of Affective Computing Theory (ACT), the concepts of mixed negative emotion, emotional space, intensity of mixed negative emotions and threshold of mixed negative emotions were introduced, the questionnaire of emotional state transition based on Markov process was designed, empirical analysis and numerical modeling were adopted to discuss different effects of specific negative emotion on individual risk preference behavior under social accidents. It is concluded that decision-making behaviors of individuals with mixed negative emotions are mostly inclined to risk-aversion under social accidents. Three types of specific mixed negative emotions, which were divided as fear leading, anger leading and sadness leading, have different effects on individual risky decision-making behaviors, also behavioral selections of individuals show differentially balanced strategies among three types of rescue solutions with risk-seeking, risk-aversion and risks-neutralness. Furthermore, the personality trait and the rescue experience have important moderating effects during the process of individual’s mixed negative emotion cognition and risky behavioral decision-making. The study reveals the differentially influence mechanism of specific negative emotion on individual risk preference behavior under social accidents, which has a significant meaning in individual emotion management, psychological adjustment, behavioral intervention and the improvement of the quality of emergency decision-making.