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驾驶员情绪状态对驾驶决策的Logistic回归分析 被引量:2

Logistic Regression Analysis of Driver's Emotional State to the Driving Decisions
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摘要 目的分析驾驶员的情绪特征对驾驶决策的预测作用。方法采用爱荷华赌博任务对驾驶员进行决策类型的分类,情绪状态量表测量驾驶员的情绪状态,通过Logistic回归分析预测情绪状态对不同决策类型驾驶员的影响。结果①积极情绪与消极情绪对不同类型的驾驶决策具有预测作用(χ2=50.639,df=2,P<0.05);②驾龄、性别作为调节变量对不同类型驾驶决策具有预测作用(χ2=23.811,df=8,P<0.01)。结论①在情绪状态量表中,积极情绪状态得分越高,消极情绪状态得分越低的驾驶员,决策类型是勇于冒险的可能性更大;②当考虑到性别与驾龄时,决策类型更多的受到新手消极情绪状态和女性积极情绪状态的影响。 Objective To analyze predict effects of the emotional state of the driver on driving decisions .Methods Using the Iowa Gambling Task to classify the driver's decision-making,the emotional state examination(POMS)questionnaire to survey drivers,and pre-dicted the effects of different types of decisions on the emotional state of the driver by logistic regression analysis .Results ①Positive e-motions and negative emotions predicted different types of driving decisions (χ2 =50.639,df=2,P〈0.05).(2)Driving experience,gen-der as moderators predicted different types of driving decisions (χ2 =23.811,df=8,P〈0.01).Conclusion ① In POMS,the higher the score the positive emotional state ,the lower the score the negative emotional state of the driver ,the types of decisions are more adven-turous;②When taking into account gender and driving experience ,types of decisions are more affected by negative emotional states and novice women's positive emotional state .
作者 梁超 陈晓晨
出处 《中国健康心理学杂志》 2014年第8期1216-1218,共3页 China Journal of Health Psychology
基金 2013年辽宁省社科基金青年项目(编号:L13CSH018)
关键词 驾驶决策 情绪状态 爱荷华赌博任务 LOGISTIC回归 驾驶员 Driving decision Emotional state Lowa gambling task Logistic regression Driver
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