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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9565217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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