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Research on Emotion Activation Efficiency of Different Drivers

Author

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  • Xiaoyuan Wang

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
    Collaborative Innovation Center for Intelligent Green Manufacturing Technology and Equipment of Shandong, Qingdao 266000, China)

  • Yaqi Liu

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212000, China)

  • Longfei Chen

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Huili Shi

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Junyan Han

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Shijie Liu

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

  • Fusheng Zhong

    (College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China)

Abstract

Emotion is an implicit psychological characteristic that changes over time. When it accumulates to a certain extent, it will be accompanied by certain external manifestations. Drivers with different traits have different emotional performance, which leads to different effects from different driver traits on the driver’s emotional activation efficacy. In this study, we thoroughly explore the effects of different genders, age, driving competence, driving anger tendency, driving safety attitude and stress state on driver’s emotional activation efficacy. This paper selects 74 young and middle-aged drivers with an age distribution between 20 and 41 years old. The eight most typical driving emotions (anger, surprise, fear, anxiety, helplessness, contempt, ease and pleasure) were screened through questionnaires. An experimental framework for the emotional stimulation and measurement of eight driving emotions was designed based on multiple emotional stimulation methods and PAD emotional model. The effect of emotional activation on drivers of different genders, age, driving competence, driving anger tendency, driving safety attitude and stress state was explored in depth. The results show that gender, age, driving safety attitude, driving anger tendency, stress state, etc., all have different degrees of influence upon the activation efficacy of emotion. The research results reveal the rules for the generation of different driving emotions to a certain extent and provide a theoretical basis for further exploring the cognitive and behavioral characteristics of drivers with different emotions.

Suggested Citation

  • Xiaoyuan Wang & Yaqi Liu & Longfei Chen & Huili Shi & Junyan Han & Shijie Liu & Fusheng Zhong, 2022. "Research on Emotion Activation Efficiency of Different Drivers," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13938-:d:954239
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    References listed on IDEAS

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    1. Kayvan Aghabayk & Leila Mashhadizade & Sara Moridpour, 2020. "Need Safer Taxi Drivers? Use Psychological Characteristics to Find or Train!," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    2. Yongqing Guo & Xiaoyuan Wang & Qing Xu & Feifei Liu & Yaqi Liu & Yuanyuan Xia, 2019. "Change-Point Analysis of Eye Movement Characteristics for Female Drivers in Anxiety," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
    3. Yaqi Liu & Xiaoyuan Wang, 2020. "Differences in Driving Intention Transitions Caused by Driver’s Emotion Evolutions," IJERPH, MDPI, vol. 17(19), pages 1-22, September.
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