通过对我国30年间煤矿重大事故统计数据的分析可知，由矿工不安全行为导致的事故占事故总数90%以上。矿工面对风险做出的选择是决定其是否实施不安全行为的重要因素，而情绪在信息接收、处理和决策过程中也会产生直接影响。矿工在复杂的作业环境中，极易产生多种不安全情绪。因此，本文旨在研究不安全情绪如何影响矿工风险决策过程，以期减少人因事故的发生。 基于对以往研究的梳理和综述，结合煤矿实际情况，本研究采用问卷调查与实验相结合的研究方法对三种具体不安全情绪如何影响风险决策进行研究，并采用配对样本T检验、方差分析等方法对实验数据统计分析。本文的主要研究内容和结论如下： 首先，通过文献分析并在与相关人员访谈的基础上，设计与编制矿工情绪问卷。选取代表性煤矿进行问卷调查，收集254份问卷，采用SPSS22.0软件统计分析，得出矿工不安全情绪状态中出现最多的是焦虑情绪，其次分别为害怕情绪、愤怒情绪等。 其次，在明确矿工不安全情绪种类与排序后，通过预测实验对不安全情绪诱发材料及其诱发效果进行考察与筛选。利用多通道的视频材料对害怕、愤怒情绪进行诱发，采用“数字倒数任务”对焦虑情绪进行诱发。实验室中三种不安全情绪的诱发效果依次为害怕情绪、焦虑情绪、愤怒情绪。 再次，利用Tobii T60XL眼动仪与BioLab人因数据同步采集系统进行实验，进一步研究三种具体不安全情绪对矿工风险决策的影响。实验结果表明：三种具体不安全情绪状态对风险决策行为的影响是焦虑情绪和害怕情绪倾向于风险规避，愤怒情绪倾向于风险寻求；三种具体不安全情绪状态下耗费的认知努力表现为害怕情绪>愤怒情绪>焦虑情绪；三种具体不安全情绪状态下生理指标T1阶段表现为害怕情绪>焦虑情绪>愤怒情绪，T2阶段表现为害怕情绪>愤怒情绪>焦虑情绪。 最后，在理论分析和实验研究的基础上，从矿工个体和煤矿组织管理两个层面提出了有效调控矿工不安全情绪的对策建议。

Through the analysis of major fatal accidents occurred within 30 years in China’s coal mines, it showed that human errors accounting for up to 90% of the total accidents. Miners’ risk decision-making is a crucial factor in determining whether to implement unsafe behavior. And emotion also has a direct influence on the process of information receiving, processing and decision-making. In the complex and harsh operating environment, the miners are prone to have a variety of unsafe emotions and their fluctuations may affect the outcome of risk decision-making, which may result in unsafe behaviors and further lead to accidents. Therefore, the purpose of this paper is to study how unsafe emotions affect miners’ decision-making under risk in order to find the relationship between unsafe emotions and miners’ decision-making under risk and reduce the occurrence of human-caused accidents. Based on the review and summarization of past research and combined with the practical situation of coal mine enterprises, this study conducted research on how the three specific unsafe emotions affect risk decision-making by adopting questionnaire method combined with the experimental method, and used paired-samples T test, variance analysis on the experimental data for statistical analysis. The main research contents and conclusions of this paper are as follows: First of all, on the basis of literature review and interviewed with relevant personnel, the paper designed and prepared miners’ emotion questionnaire and then selected four representative coal mines to conduct a questionnaire survey, collected 254 questionnaires and analyzed by adopting SPSS22.0 statistical software. It is concluded that anxiety is most prevalent in miners’ unsafe emotions, followed by impatience, fear, anger, boredom, nervousness and so on. Secondly, after identifying the types and sequencing of the miners’ unsafe emotions, investigated the effects of emotion-induced materials and screened emotion-induced materials through the predictive experiments. The paper used video materials with multiple channels to induce fear and anger emotion and used “digital countdown tasks” to induce anxiety emotion. The evoked effects of three unsafe emotions in the laboratory were, in turn, fear, anxiety, and anger emotion. Thirdly, the paper further studied the impact of three specific unsafe emotions on the miners’ risk decision-making using the Tobii T60XL eye tracker and BioLab human-data synchronization acquisition system. The experimental results show that the impact of three specific unsafe emotional states on risk decision-making behavior is that anxiety and fear emotion tend to risk aversion and anger emotion tends to risk seeking. Cognitive efforts spent in three specific unsafe emotions manifests as fear emotion > anger emotion > anxiety emotion. In the T1 stage, the physiological index of three specific unsafe emotions is fear emotion > anxiety emotion > anger emotion, and in the T2 stage, fear emotion > anger emotion > anxiety emotion. Finally, on the basis of theoretical analysis and experimental research, the paper put forward effective practical suggestions to effectively control unsafe emotions from the two aspects of miners individual and coal mine organizing management.