China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (1): 32-40.doi: 10.16265/j.cnki.issn1003-3033.2023.01.2435

• Safety social science and safety management • Previous Articles     Next Articles

An EEG study of emotion mechanism in unsafe behavior decision-making

ZHANG Shu1,2(), WANG Shuang1,2,**(), SHI Xiuzhi1,2   

  1. 1 School of Resources and Safety Engineering, Central South University,Changsha Hunan 410083,China
    2 Safety & Security Theory Innovation and Promotion Center (STIPC), Central South University, Changsha Hunan 410083,China
  • Received:2022-08-14 Revised:2022-11-11 Online:2023-01-28 Published:2023-07-28

Abstract:

In order to prevent the influence of negative emotions on individual behavior decision-making and to avoid unsafe behavior, the mechanism of emotion on the decision-making process and outcome of unsafe behavior was explored from the neural level. Based on the event-related potentials (ERPs) technology, the experimental paradigm of "one stimulus-two key choices (S-K1/K2)" was used to carry out EEG experiments to explore the influence mechanism of positive and negative emotions on unsafe behavior decision-making. The results show that: under negative emotions, individuals are more inclined to make unsafe behaviors and are more likely to make impulsive decisions. Compared with positive emotions, the average volatility of P200 is smaller under negative emotions, indicating that negative emotions inhibit the individual's early attention to risk information and interfere with the early perception and detection of risk information. The average volatility of N2 is larger, indicating that negative emotions interfere with the process of risk information analysis, leading to greater cognitive bias and cognitive conflict. The average volatility of late positive potential(LPP) is smaller, indicating that negative emotions seriously interfere with the continued focus of the late stage and have a greater impact on the risk judgment process. Emotions can indirectly affect the results of behavioral decision-making by interfering with early perception and detection, risk information analysis and risk judgment. On this basis, a decision-making model for safe behavior based on emotional effects is established to regulate people's unsafe behavior from the perspective of emotion.

Key words: unsafe behavior, emotion, behavioral decision-making, mechanism, electroencephalogram(EEG), event related potentials (ERPs)