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Effects of fatigue on operator monitoring behavior based on EEG experiments
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Mian ZHANG1, Cannan YI2, Fuliang JIANG1, 2, **, Hong HU2, Wen WU2, Sijia ZHANG2
China Safety Science Journal | 2024, 34(9) : 50 - 58
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China Safety Science Journal | 2024, 34(9): 50-58
Safety social science and safety management
Effects of fatigue on operator monitoring behavior based on EEG experiments
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Mian ZHANG1, Cannan YI2, Fuliang JIANG1, 2, **, Hong HU2, Wen WU2, Sijia ZHANG2
Affiliations
  • 1 School of Resources Environment and Safety Engineering,University of South China,Hengyang Hunan 421001,China
  • 2 School of Safety and Management Engineering,Hunan Institute of Technology,Hengyang Hunan 421002,China
Published: 2024-09-28 doi: 10.16265/j.cnki.issn1003-3033.2024.09.0997
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To optimize operator fatigue risk management and reduce the impact of fatigue on operator performance,the monitoring tasks before and after fatigue induction were conducted. Firstly,the fatigue-inducing task of the 2-back paradigm and the monitoring task of the oddball paradigm were designed with the digital main control room of a pressurized-water reactor nuclear power plant,and the control interfaces of low,medium,and high complexity were used. Then,human trials with 23 participants were performed to obtain subjective fatigue ratings,behavioral data,and EEG signals. Moreover,the effectiveness of fatigue induction was verified using relevant fatigue indicators. Finally,the participator's behavioral data and event-related potential P3 components under three different complexity interfaces before and after fatigue induction were analyzed. The results showed that the shortest 2-back task lasting 30 to 60 min induced fatigue. Fatigue or interface complexity increase resulted in a decrease in the monitoring behavior performance,and the maximum performance difference was observed between high-complexity and medium-complexity interfaces under fatigue conditions. Moreover,a 4.9% decrease in accuracy and a 10.4% increase in reaction time were observed. The trend of P3 latency was consistent with that of reaction time,and P3 amplitude increased significantly only under high-complexity interfaces. Based on the performance analysis and event-related potential data,it was concluded that the interface complexity increased the negative impact of fatigue on operators' mental workload.

fatigue  /  operators  /  monitor behavior  /  electro-encephalogram(EEG)  /  interface complexity
Mian ZHANG, Cannan YI, Fuliang JIANG, Hong HU, Wen WU, Sijia ZHANG. Effects of fatigue on operator monitoring behavior based on EEG experiments[J]. China Safety Science Journal, 2024 , 34 (9) : 50 -58 . DOI: 10.16265/j.cnki.issn1003-3033.2024.09.0997
Year 2024 volume 34 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.09.0997
  • Receive Date:2024-03-26
  • Online Date:2025-07-09
  • Published:2024-09-28
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  • Received:2024-03-26
  • Revised:2024-06-26
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    1 School of Resources Environment and Safety Engineering,University of South China,Hengyang Hunan 421001,China
    2 School of Safety and Management Engineering,Hunan Institute of Technology,Hengyang Hunan 421002,China
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