IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-19-5256-2_111.html
   My bibliography  Save this book chapter

A Study of Construction Workers’ Hazard Recognition Process Based on EEG Experiment

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Zhiyu Zhang

    (Shenzhen University)

  • Zhikun Ding

    (Shenzhen University
    Shenzhen University
    Shenzhen University
    Shenzhen University)

  • Weilin Chen

    (Shenzhen University)

Abstract

As a labour-intensive industry, the casualties caused by safety accidents in the construction industry have always been at the forefront of all industries. Most safety accidents during the construction process are attributed to workers themselves, so how to effectively reduce the accidents caused by construction workers has become an important issue for the construction safety management. Among them, the process of construction workers’ subjective risk perception is the key to change their behaviour and decision-making. Thus, this article is based on the related concepts of construction engineering hazard identification and neuromanagement. Use EEG to do event-related potential experiments to study the process of construction workers’ hazard identification. Then conduct an objective analysis of the experimental results. It is found that individuals produce more significant P200 and LPP waveform in the process of risk identification, and there are significant differences in the P200 amplitudes produced by different types of dangerous stimuli. At the same time, the experimental results showed that, before the individual was stimulated by the dangerous pictures, the brain will perform two-stage processing, that is, the early perception of emergencies and the subjective risk level judgment. In summary, it showed that the cross-application of neuroscience in the engineering field can open up new fields for research and conduct deeper explorations. At the same time, it further confirms the importance of human factors in the study of construction safety-related issues.

Suggested Citation

  • Zhiyu Zhang & Zhikun Ding & Weilin Chen, 2022. "A Study of Construction Workers’ Hazard Recognition Process Based on EEG Experiment," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 1441-1453, Springer.
  • Handle: RePEc:spr:lnopch:978-981-19-5256-2_111
    DOI: 10.1007/978-981-19-5256-2_111
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnopch:978-981-19-5256-2_111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.