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ERP Study of Mine Management System Warning Interface under Fatigue

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 subjectiv...

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Autores principales: Bai, Yuxin, Shao, Jiang, Zhang, Ying, Chen, Lulu, Zhao, Xijie, Tian, Fangyuan, Xue, Chengqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565217/
https://www.ncbi.nlm.nih.gov/pubmed/36231916
http://dx.doi.org/10.3390/ijerph191912616
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author Bai, Yuxin
Shao, Jiang
Zhang, Ying
Chen, Lulu
Zhao, Xijie
Tian, Fangyuan
Xue, Chengqi
author_facet Bai, Yuxin
Shao, Jiang
Zhang, Ying
Chen, Lulu
Zhao, Xijie
Tian, Fangyuan
Xue, Chengqi
author_sort Bai, Yuxin
collection PubMed
description 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.
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spelling pubmed-95652172022-10-15 ERP Study of Mine Management System Warning Interface under Fatigue Bai, Yuxin Shao, Jiang Zhang, Ying Chen, Lulu Zhao, Xijie Tian, Fangyuan Xue, Chengqi Int J Environ Res Public Health Article 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. MDPI 2022-10-02 /pmc/articles/PMC9565217/ /pubmed/36231916 http://dx.doi.org/10.3390/ijerph191912616 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bai, Yuxin
Shao, Jiang
Zhang, Ying
Chen, Lulu
Zhao, Xijie
Tian, Fangyuan
Xue, Chengqi
ERP Study of Mine Management System Warning Interface under Fatigue
title ERP Study of Mine Management System Warning Interface under Fatigue
title_full ERP Study of Mine Management System Warning Interface under Fatigue
title_fullStr ERP Study of Mine Management System Warning Interface under Fatigue
title_full_unstemmed ERP Study of Mine Management System Warning Interface under Fatigue
title_short ERP Study of Mine Management System Warning Interface under Fatigue
title_sort erp study of mine management system warning interface under fatigue
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565217/
https://www.ncbi.nlm.nih.gov/pubmed/36231916
http://dx.doi.org/10.3390/ijerph191912616
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