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Angry Drivers Take Risky Decisions: Evidence from Neurophysiological Assessment

Author

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  • Shuling Li

    (State Key Laboratory of Automotive Safety and Energy, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China)

  • Tingru Zhang

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Ben D. Sawyer

    (Department of Industrial Engineering & Management Systems, University of Central Florida, Orlando, FL 32816, USA)

  • Wei Zhang

    (State Key Laboratory of Automotive Safety and Energy, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China)

  • Peter A. Hancock

    (Department of Psychology, University of Central Florida, Orlando, FL 32816, USA)

Abstract

The present study investigated the risk-taking behaviors of angry drivers, which were coincidentally measured via behavioral and electroencephalographic (EEG) recordings. We manipulated a driving scenario that concerned a Go/No-Go decision at an intersection when the controlling traffic light was in its yellow phase. This protocol was based upon the underlying format of the Iowa gambling task. Variation in the anger level was induced through task frustration. The data of twenty-four drivers were analyzed via behavioral and neural recordings, and P300 was specifically extracted from EEG traces. In addition, the behavioral performance was indexed by the percentage of high-risk choices minus the number of the low-risk choices taken, which identified the risk-taking propensity. Results confirmed a significant main effect of anger on the decisions taken. The risk-taking propensity decreased across the sequence of trial blocks in baseline assessments. However, with anger, the risk-taking propensity increased across the trial regimen. Drivers in anger state also showed a higher mean amplitude of P300 than that in baseline state. Additionally, high-risk choices evoked larger P300 amplitude than low-risk choices during the anger state. Moreover, the P300 amplitude of high-risk choices was significantly larger in the anger state than the baseline state. The negative feedback induced larger P300 amplitude than that recorded in positive feedback trials. The results corroborated that the drivers exhibited higher risk-taking propensity when angry although they were sensitive to the inherent risk-reward evaluations within the scenario. To reduce this type of risk-taking, we proposed some effective/affective intervention methods.

Suggested Citation

  • Shuling Li & Tingru Zhang & Ben D. Sawyer & Wei Zhang & Peter A. Hancock, 2019. "Angry Drivers Take Risky Decisions: Evidence from Neurophysiological Assessment," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1701-:d:231177
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    References listed on IDEAS

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    1. Tingru Zhang & Alan H. S. Chan & Hongjun Xue & Xiaoyan Zhang & Da Tao, 2019. "Driving Anger, Aberrant Driving Behaviors, and Road Crash Risk: Testing of a Mediated Model," IJERPH, MDPI, vol. 16(3), pages 1-13, January.
    2. Luis Montoro & Sergio Useche & Francisco Alonso & Boris Cendales, 2018. "Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers," IJERPH, MDPI, vol. 15(3), pages 1-12, March.
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    Cited by:

    1. Milanko Damjanović & Spasoje Mićić & Boško Matović & Dragan Jovanović & Aleksandar Bulajić, 2022. "Differences in Driving Anger among Professional Drivers: A Cross-Cultural Study," IJERPH, MDPI, vol. 19(7), pages 1-18, March.
    2. Chao Fang & Yamei Zhang & Mingyi Zhang & Qun Fang, 2020. "P300 Measures and Drive-Related Risks: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(15), pages 1-14, July.

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