ERP Study of Mine Management System Warning Interface under Fatigue

Yuxin Bai, Jiang Shao (), Ying Zhang, Lulu Chen, Xijie Zhao, Fangyuan Tian and Chengqi Xue
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Yuxin Bai: School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China
Jiang Shao: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Ying Zhang: School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China
Lulu Chen: School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China
Xijie Zhao: School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China
Fangyuan Tian: School of Management, Xi’an University of Science and Technology, Xi’an 710054, China
Chengqi Xue: School of Mechanical Engineering, Southeast University, Nanjing 211189, China

IJERPH, 2022, vol. 19, issue 19, 1-14

Abstract: Due to the large volume of monitoring data in mines, concentrating on and reviewing the data for a long period of time will easily cause fatigue. To study the influence of different visual codes of early-warning interfaces on the response of individuals who are fatigued, the changes in the subjective fatigue and corresponding frequency waves are compared before and after a fatigue-inducing task, as well as using event-related potential to study the behavioral data and EEG signals of subjects who participated in an oddball task on an early-warning interface. The results showed that all 14 subjects became fatigued after the fatigue-inducing task, and the amplitude of P200 when text is used in a fatigued state was the largest, with the longest latency. The subjects showed a slower reaction time and a reduced accuracy rate, thus indicating that in designing a warning interface, when text rather than color is used as a visual code, the operating load will be larger, mental load is increased, and attention resources are consumed. The experimental results provide the basis for the design and evaluation of early-warning interfaces of mine management systems.

Keywords: fatigue; mine management system; early-warning interface; event-related potential (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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