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Recognition Mechanism of Dangerous Goods Marks: Evidence from an Event-Related Potential Study

Author

Listed:
  • Qiang Wei

    (School of Education, Jianghan University, Wuhan 430056, China
    These authors contributed equally to this work.)

  • Xinyu Du

    (School of Education, Jianghan University, Wuhan 430056, China
    School of Arts and Communication, China University of Geoscience, Wuhan 430074, China
    These authors contributed equally to this work.)

  • Yixin Lin

    (School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Guanhua Hou

    (Pan Tianshou College of Architecture, Art and Design, Ningbo University, Ningbo 315211, China)

  • Siyuan Liu

    (School of Education, Jianghan University, Wuhan 430056, China)

  • Hao Fang

    (School of Art and Design, Wuhan Institute of Technology, Wuhan 430205, China
    Engineering Research Center of Big Data Application in Private Health Medicine, Fujian Province University, Putian 351100, China)

  • Ming Jin

    (Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK)

Abstract

Dangerous goods marks are the most effective means of alerting individuals to the potential dangers associated with the transport of dangerous goods. In order to gain a better understanding of how dangerous goods marks convey risk information, the cognitive processing of dangerous goods marks was examined by measuring event-related potentials (ERPs). We recruited 23 participants, and their ERP data were recorded. We discovered that the dangerous goods marks elicited a larger P200 amplitude and a smaller N300 amplitude, indicating that, compared to other marks, the dangerous goods marks exhibited stronger warning information and drew more attention from the subjects. Simultaneously, dangerous goods marks elicited insufficient emotional arousal in individuals. Therefore, these findings suggest that the designs of dangerous goods marks need to be improved, such as improving the graphic consistency. Changes in ERP patterns can be used to measure the risk perception level of dangerous goods marks, which can be used as an accurate indicator of the effectiveness of warning sign design. In addition, this study provides a theoretical foundation for the cognitive understanding mechanism of dangerous goods marks.

Suggested Citation

  • Qiang Wei & Xinyu Du & Yixin Lin & Guanhua Hou & Siyuan Liu & Hao Fang & Ming Jin, 2023. "Recognition Mechanism of Dangerous Goods Marks: Evidence from an Event-Related Potential Study," IJERPH, MDPI, vol. 20(6), pages 1-12, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:5192-:d:1098235
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    References listed on IDEAS

    as
    1. Taamneh, Madhar & Alkheder, Sharaf, 2018. "Traffic sign perception among Jordanian drivers: An evaluation study," Transport Policy, Elsevier, vol. 66(C), pages 17-29.
    2. Liping Liu & Jiaming Li & Lei Zhou & Tijun Fan & Shuxia Li, 2021. "Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

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