AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (5.4 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Publishing Language: Chinese | Open Access

The effect of noise exposure duration on miners' risk perception: Evidence from fNIRS

Shuicheng TIAN( )Hongyan LIYanbin SHIMengfei DUANWei LINQingyan WANG
College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
Institute of Safety and Emergency Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
Show Author Information

Abstract

This study attempts to improve the risk perception level of miners. We divided the noise exposure into 4 phases: 0 min, 15 min, 30 min and 45 min, and designed risk perception task test under different noise exposure time based on literature review and experiments. We collected the functional near-infrared spectroscopy (fNIRS) and the behavioral data of the subjects and conducted paired t-tests, non-parametric tests and Pearson correlation analysis to investigate how different noise exposure time affects the risk perception level of miners. Results show that: (1) Noise exposure time posed significant impact on the accuracy of the subjects, exhibiting an initial increase and subsequent decrease over time; (2) Noise exposure time significantly activated the channels located in orbital frontal lobe (OFC), frontal polar region (FPC) and dorsolateral prefrontal lobe (dlPFC) in the risk perception task, and the activation level of the left hemisphere was slightly higher than that of the right hemisphere; (3) The brain regions showed a stage-by-stage collaborative relationship under different noise exposure time. The dorsolateral prefrontal and frontal pole regions collaborated during the noiseless stage. The collaboration between the frontal pole region and orbital frontal region was enhanced at 15 minutes of noise exposure, and the collaboration between the left and right hemispheres of the dorsolateral prefrontal was enhanced at the 30-minute and 45-minute stages.

CLC number: TD79 Document code: A Article ID: 2096-2193(2025)03-0522-09

References

[1]

LI Jing, ZHANG Zhizhen, DU Xuan, et al. Statistical method of coal mine violations based on text classification technology[J]. Journal of Mining Science and Technology, 2022, 7(3): 344-353.

[2]

WANG Xiaojun, ZHANG Lijing, YANG Peng. Relationship between work safety standardization and industrial accidents in machinery manufacturing enterprises[J]. China Safety Science Journal, 2023, 33(8): 45-50.

[3]

TONG Ruipeng, ZHAO Hui, ZHANG Na, et al. Research onemergency modeling of unsafe behavior of coal miners. Journal of Mining Science and Technology, 2020, (3): 311-319.

[4]
HAN Xiaojing. Study on the influence of risk preference on miners' unsafe behavior[D]. Xi'an: Xi'an University of Science and Technology, 2014.
[5]
YIN Leiyu. Study on the relationship between noise of heading face and miners' perception of dangerous events[D]. Xi'an: Xi'an University of Science and Technology, 2017.
[6]

BENFIELD J A, BELL P A, TROUP L J, et al. Aesthetic and affective effects of vocal and traffic noise on natural landscape assessment[J]. Journal of Environmental Psychology, 2010, 30(1): 103-111.

[7]

TIAN Shuicheng, LI Lei, DENG Jun, et al. Experimental study on relationship between miners' unsafe behavior and noise based on BioLAB[J]. China Safety Science Journal, 2013, 23(3): 10-15.

[8]

JING Guoxun, LÜ Pengfei, ZHAO Panfei, et al. Experimental study on the influence of coal mine noise on people's attention[J]. Journal of Safety Science and Technology, 2017, 13(10): 164-168.

[9]

WANG Jianguo, FU Wen, WANG Yanqiu. Study on the effects of different levels of noise on miners' physiological indexes and behavioral abilities[J]. Mining Safety & Environmental Protection, 2019, 46(1): 99-103.

[10]

SMITH A. Noise, performance efficiency and safety[J]. International Archives of Occupational and Environmental Health, 1990, 62(1): 1-5.

[11]

YOU Bo, TANG Xiao, SHI Shiliang, et al. Simulated experimental study of noise over human safety behavior[J]. Mineral Engineering Research, 2017, 32(4): 14-19.

[12]

JING Guoxun, WANG Min. Effects of noise on cognitive performance of workers based on physiological indicators[J]. Safety in Coal Mines, 2021, 52(8): 243-247.

[13]

LI Naiwen, SU Ziyi, FANG Xiaokai. Research on influence of work underload on risk perception ability of coal mine monitoring inspectors[J]. China Safety Science Journal, 2024, 34(2): 31-36.

[14]

NI Guodong, FANG Yaqi, ZHANG Qi, et al. Influencing mechanism of risk propensity on hazard perception of new generation of construction workers[J]. China Safety Science Journal, 2023, 33(5): 221-229.

[15]

PERELLO-MARCH J R, BURNS C G, BIRRELL S A, et al. Physiological measures of risk perception in highly automated driving[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(5): 4811-4822.

[16]

HOSHI Y, ODA I, WADA Y, et al. Visuospatial imagery is a fruitful strategy for the digit span backward task: a study with near-infrared optical tomography[J]. Cognitive Brain Research, 2000, 9(3): 339-342.

[17]

CAUSSE M, CHUA Z K, RéMY F. Influences of age, mental workload, and flight experience on cognitive performance and prefrontal activity in private pilots: a fNIRS study[J]. Scientific Reports, 2019, 9(1): 7688.

[18]

HARRIVEL A R, WEISSMAN D H, NOLL D C, et al. Monitoring attentional state with fNIRS[J]. Frontiers in Human Neuroscience, 2013, 7: 861.

[19]

LI Xiaoran, CHEN Xin. Definition and evaluation of behavior safety state of coal mine workers based on combination weighting[J]. Journal of Mining Science and Technology, 2023, 8(2): 256-264.

[20]

CUI Weili. Research on quality and safety risk assessment model based on expert scoring method[J]. Market Regulation and Quality Technology Research, 2024(3): 60-63.

[21]

LI Min, JIA Huiqiao, LI Kaiwei, et al. Effect of noise level on unsafe behavior of humans[J]. China Safety Science Journal, 2017, 27(3): 19-24.

[22]

JING Guoxun, ZHAO Panfei, LÜ Pengfei, et al. Exposure duration influence of the different kinds of mining noise on the miners' visual recognition[J]. Journal of Safety and Environment, 2018, 18(2): 615-618.

[23]

CUI X, BRAY S, REISS A L. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics[J]. NeuroImage, 2010, 49(4): 3039-3046.

[24]

POULTON E C. A new look at the effects of noise: a rejoinder[J]. Psychological Bulletin, 1978, 85(5): 1068-1079.

[25]

HANCOCK P A. A dynamic model of stress and sustained attention[J]. Human Factors: the Journal of Human Factors and Ergonomics Society, 1989, 31(5): 519-537.

[26]
LIU Penggang. Study on risk evolution mechanism and countermeasures of resource-exhausted mines[D]. Xi'an: Xi'an University of Architecture and Technology, 2009.
Journal of Mining Science and Technology
Pages 522-530
Cite this article:
TIAN S, LI H, SHI Y, et al. The effect of noise exposure duration on miners' risk perception: Evidence from fNIRS. Journal of Mining Science and Technology, 2025, 10(3): 522-530. https://doi.org/10.19606/j.cnki.jmst.2025041

30

Views

1

Downloads

0

Crossref

0

Scopus

0

CSCD

Altmetrics

Received: 26 January 2025
Revised: 12 March 2025
Published: 30 June 2025
© The Author(s) 2025

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return