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Automatic processing mechanism of accident emergency information: evidence from ERPs
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Yu HAN1, 2, Yin LE1, Jiameng LI1
China Safety Science Journal | 2025, 35(9) : 236 - 243
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China Safety Science Journal | 2025, 35(9): 236-243
• Emergency technology and management •
Automatic processing mechanism of accident emergency information: evidence from ERPs
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Yu HAN1, 2, Yin LE1, Jiameng LI1
Affiliations
  • 1Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang Jiangsu 212013, China
  • 2School of Emergency Management, Jiangsu University, Zhenjiang Jiangsu 212013, China
Published: 2025-09-28 doi: 10.16265/j.cnki.issn1003-3033.2025.09.0984
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This study aimed to uncover the underlying mechanisms of emergency information processing during accidents and to improve the emergency response capabilities of individuals, thereby reducing injury severity. Based on theories of implicit memory and automatic processing, ERPs technology was employed in behavioral and neural experiments. The "reaction time" and "accuracy" were used as measures of information processing capacity. The ERP components P200 (P2), P300 (P3), and Late Positive Potential (LPP) were used to reflect the participants' cognitive and emotional processing. This study explored the automatic processing mechanisms of emergency information and identified its influencing factors. The results show that in frequent accident scenarios, experience-guided implicit memory enhances early attention sensitivity. This reduces conscious brain processing, automates information processing, and demands fewer cognitive resources. Conversely, infrequent accident scenarios trigger panic emotions, increase cognitive resource consumption, lead to cognitive fixation and attachment, and inhibit the automation of information processing.

accident emergency information  /  information processing  /  implicit memory  /  automatic processing  /  event-related potentials (ERPs)
Yu HAN, Yin LE, Jiameng LI. Automatic processing mechanism of accident emergency information: evidence from ERPs[J]. China Safety Science Journal, 2025 , 35 (9) : 236 -243 . DOI: 10.16265/j.cnki.issn1003-3033.2025.09.0984
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Year 2025 volume 35 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.09.0984
  • Receive Date：2025-03-12
  • Online Date：2026-07-09
  • Published：2025-09-28
Article Data
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History
  • Received：2025-03-12
  • Revised：2025-06-11
Funding
Affiliations
    1Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang Jiangsu 212013, China
    2School of Emergency Management, Jiangsu University, Zhenjiang Jiangsu 212013, China
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