ERP Study of Mine Management System Warning Interface under Fatigue

Int J Environ Res Public Health. 2022 Oct 2;19(19):12616. doi: 10.3390/ijerph191912616.

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: early-warning interface; event-related potential; fatigue; mine management system.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attention / physiology
  • Electroencephalography / methods
  • Evoked Potentials* / physiology
  • Fatigue
  • Humans
  • Mental Fatigue*
  • Reaction Time / physiology

Grants and funding

This research was funded by the National Natural Science Foundation of China (No. 72001202), Fundamental Research Funds for the Central Universities of China (No. 2020QN17, 2020ZDPY0308), and the Graduate Innovation Program of China University of Mining and Technology (No. 2022WLJCRCZL298).