Lev Dror, Hershkovitz Eyal, Yechiam Eldad
Technion - Israel Institute of Technology, Israel.
Accid Anal Prev. 2008 Jan;40(1):223-30. doi: 10.1016/j.aap.2007.05.009. Epub 2007 Jun 29.
Traffic offences present danger to the offender, and to others. This study examines differences in decision making and personality between traffic offenders and non-offenders. Fifty-one traffic offenders participating in penalty courses were compared to a control group of 36 drivers who were not penalized for traffic offences in the 5 years prior to the study. All participants performed the Iowa Gambling Task (IGT), a popular decision task employed for assessing cognitive impulsivity, and completed the "big five" personality questionnaire. The results showed that traffic offenders made fewer advantageous choices on the IGT; and an analysis with a formal cognitive model, the Expectancy Valance model, suggests that this results from offenders' high weighting of gains compared to losses. An examination of personality factors reveals that traffic offenders were more extraverted. The predictive power of IGT performance was comparable to that of the personality factor. These results demonstrate that the IGT can be useful for studying individual differences in risk taking in a real-world task, and combined with the EV model, identify the sources of these differences.
交通违法行为对违法者自身及他人都构成危险。本研究考察了交通违法者与非违法者在决策和性格方面的差异。将51名参加处罚课程的交通违法者与一个由36名司机组成的对照组进行比较,该对照组在研究前5年未因交通违法而受到处罚。所有参与者都完成了爱荷华赌博任务(IGT),这是一项用于评估认知冲动性的常用决策任务,并填写了“大五”人格问卷。结果显示,交通违法者在IGT上做出的有利选择较少;使用正式认知模型——期望效价模型进行分析表明,这是由于违法者在收益与损失的权衡上更看重收益。对人格因素的考察发现,交通违法者更外向。IGT表现的预测能力与人格因素相当。这些结果表明,IGT可用于研究现实任务中冒险行为的个体差异,并结合期望效价模型,确定这些差异的来源。