[1]刘舒怡,栗继祖.基于生理信号的模拟矿工作业者脑力负荷特征研究*[J].中国安全生产科学技术,2026,22(3):179-187.[doi:10.11731/j.issn.1673-193x.2026.03.023]
LIU Shuyi,LI Jizu.Study on mental workload characteristics of simulated miners based on physiological signals[J].Journal of Safety Science and Technology,2026,22(3):179-187.[doi:10.11731/j.issn.1673-193x.2026.03.023]
点击复制
基于生理信号的模拟矿工作业者脑力负荷特征研究*
LIU Shuyi,LI Jizu.Study on mental workload characteristics of simulated miners based on physiological signals[J].Journal of Safety Science and Technology,2026,22(3):179-187.[doi:10.11731/j.issn.1673-193x.2026.03.023]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 22
- 期数:
- 2026年3期
- 页码:
- 179-187
- 栏目:
- 职业健康与防护
- 出版日期:
- 2026-03-30
文章信息/Info
- Title:
- Study on mental workload characteristics of simulated miners based on physiological signals
- 文章编号:
- 1673-193X(2026)-03-0179-09
- Keywords:
- mental workload; physiological indicators; skin conductance; miners
- 分类号:
- X912
- 文献标志码:
- A
- 摘要:
- 为探究矿工的脑力负荷特征，以减少作业人员脑力负担导致的煤矿事故，基于生理信号与多维评估方法，分析气质类型与任务难度对矿工脑力负荷的作用机制。采用2种气质类型（胆汁质、多血质）×3种任务难度（低、中、高）的混合双因素实验设计，综合运用主观量表（NASA-TLX）、生理指标（皮肤电导SC、平均心率Mean HR、平均心搏间期Mean IBI、相邻N-N间期之差>20 ms的百分数PNN20、心动间隔标准差SDNN）和行为绩效（任务失误次数）进行多维测量。研究结果表明：与多血质组相比，胆汁质组的Mean HR与SC更大，Mean IBI、SDNN、PNN20更小，且其主观评分和任务失误次数更高。在不同任务难度下，矿工的脑力负荷具有差异性，生理指标中Mean HR、SC、Mean IBI、SDNN和PNN20存在显著差异。任务失误次数方面，随着任务难度增加，2组失误次数均递增。主观评分方面，随难度增加评分显著上升。矿工脑力负荷受气质类型与任务难度共同作用，胆汁质个体负荷更高。研究结果可为煤矿人员配置及任务难度分级提供量化支撑，对降低人因失误风险具有实践价值。
- Abstract:
- In order to investigate the mental workload characteristics of miners and reduce coal mine accidents attributable to excessive cognitive burden,the mechanisms through which temperament type and task difficulty influence miners’ mental workload are analyzed based on physiological signals and multidimensional assessment methods.A mixed two-factor experimental design crossing two temperament types (choleric and sanguine) with three levels of task difficulty (low,medium,and high) is adopted,incorporating subjective scales (NASA-TLX),physiological indicators (skin conductance,mean heart rate,mean inter-beat interval,the percentage of successive N-N interval differences exceeding 20 ms,and the standard deviation of N-N intervals),and behavioral performance (number of task errors) for multidimensional measurement.The results show that compared with the sanguine group,the choleric group exhibits higher mean heart rate and skin conductance,lower mean inter-beat interval,standard deviation of N-N intervals,and percentage of successive N-N interval differences exceeding 20 ms,along with higher subjective ratings and greater numbers of task errors.Miners’ mental workload varies across task difficulty levels,with significant differences observed in mean heart rate,skin conductance,mean inter-beat interval,standard deviation of N-N intervals,and percentage of successive N-N interval differences exceeding 20 ms.Regarding task errors,the number of errors increases progressively with task difficulty in both groups,and subjective ratings rise significantly as difficulty increases.Miners’ mental workload is jointly influenced by temperament type and task difficulty,with choleric individuals exhibiting higher overall workload.These findings provide quantitative support for coal mine personnel allocation and task difficulty classification,and hold practical value for reducing the risk of human error.
参考文献/References:
［1］白杰,冯传宴,杨坤.飞行员脑力负荷生理测量方法研究进展［J］.航天医学与医学工程,2016,29 (2):150-156.
BAI Jie,FENG Chuanyan,YANG Kun.Research progress of physiological measurement of mental workload in pilots［J］.Space Medicine & Medical Engineering,2016,29 (2):150-156.
［2］徐超远,栗继祖,徐新华.煤矿监控调度作业疲劳程度分级与判定研究［J］.煤矿安全,2022,53 (12):253-258.
XU Chaoyuan,LI Jizu,XU Xinhua.Research on classification and determination method of work fatigue level of coal mine dispatchers［J］.Safety in Coal Mines,2022,53 (12):253-258.
［3］YOUNG M S,BROOKHUIS K A,WICKENS C D,et al.State of science:mental workload in ergonomics［J］.Ergonomics,2015,58 (1):1-17.
［4］陆崑,卫宗敏,庄达民,等.飞机驾驶舱显示界面脑力负荷判别预测生理模型［J］.北京航空航天大学学报,2016,42 (4):685-693.
LU Kun,WEI Zongmin,ZHUANG Damin,et al.Integrated physiological model for mental workload assessment and prediction of aircraft flight deck display interface［J］.Journal of Beijing University of Aeronautics and Astronautics,2016,42 (4):685-693.
［5］MANSIKKA H,SIMOLA P,VIRTANEN K,et al.Fighter pilots’ heart rate,heart rate variation and performance during instrument approaches［J］.Ergonomics,2016,59 (10):1344-1352.
［6］DING Y,CAO Y Q,DUFFY V G,et al.Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning［J］.Ergonomics,2020,63 (7):896-908.
［7］汪磊,王朔,邹颖,等.基于任务情境的航线飞行员脑力负荷特征研究［J］.安全与环境学报,2023,23 (04):1202-1208.
WANG Lei,WANG Shuo,ZOU Ying,et al.A study on airline pilots’ mental workload characteristics based on task situation［J］.Journal of Safety and Environment,2023,23 (4):1202-1208.
［8］GAO Q,WANG Y,SONG F,et al.Mental workload measurement for emergency operating procedures in digital nuclear power plants［J］.Ergonomics,2013,56 (7):1070-1085.
［9］FENG C Y,WANYAN X R,YANG K,et al.A comprehensive prediction and evaluation method of pilot workload［J］.Technology and Health Care,2018,26 (S1):65-78.
［10］赵娜,谭舒宁,高科,等.数字化场景下项目经理多任务处理心理负荷的实验研究［J］.铁道科学与工程学报,2026,23(1):352-363.
ZHAO Na,TAN Shuning,GAO Ke,et al.Experimental study on mental load of multitasking for project managers in digital scenarios［J］.Journal of Railway Science and Engineering,2026,23(1):352-363.
［11］刘家喜,张超文,张瑞,等.建筑火灾场景下表征人员认知负荷的生理信号研究［J］.安全与环境学报,2025,25 (4):1504-1513.
LIU Jiaxi,ZHANG Chaowen,ZHANG Rui,et al.Research on physiological signals as indicators of personnel cognitive load in building fire scenarios［J］.Journal of Safety and Environment,2025,25 (4):1504-1513.
［12］陶冶,汪瑞,王泽辉,等.西藏藏族中职生艾森克测评人格特质及气质类型分析［J］.心理月刊,2023,18 (12):197-200.
TAO Ye,WANG Rui,WANG Zehui,et al.Analysis of Eysenck’s assessment of personality traits and temperament types of Tibetan secondary vocational school students in Xizang［J］.Psychologies,2023,18 (12):197-200.
［13］赵晓霞,刘睿.艾森克人格特质理论与企业员工个体创新绩效研究［J］.科技管理研究,2012,32 (7):138-141.
ZHAO Xiaoxia,LIU Rui.Research on Eysenck’s personality theory and employees’ creativity performance［J］.Science and Technology Management Research,2012,32 (7):138-141.
［14］ZHANG X,QU X,XUE H,et al.Modeling pilot mental workload using information theory［J］.The Aeronautical Journal,2019,123 (1264) :828-839.
［15］WANYAN X R,ZHUANG D,ZHANG H.Improving pilot mental workload evaluation with combined measures［J］.Bio-medical Materials and Engineering,2014,24(6) :2283-2290.
［16］CINAZ B,ARNRICH B,LA MARCA R,et al.Monitoring of mental workload levels during an everyday life office-work scenario［J］.Personal and Ubiquitous Computing,2013,17 (2):229-239.
［17］MEHLER B,REIMER B,COUGHLIN J F,et al.Impact of incremental increases in cognitive workload on physiological arousal and performance in young adult drivers［J］.Transportation Research Record,2009,2138:6-12.
［18］FALLAHI M,MOTAMEDZADE M,HEIDARIMOGHADAM R,et al.Effects of mental workload on physiological and subjective responses during traffic density monitoring:a field study［J］.Applied Ergonomics,2016,52:95-103.
［19］孙向红,杨帆.车辆驾驶心理负荷测量工具的测评与发展:一个现场研究的尝试［J］.人类工效学,2008,14(3):27-31.
SUN Xianghong,YANG Fan.A new method to measure drivers’ mental workload:a field study in China［J］.Chinese Journal of Ergonomics,2008,14(3):27-31.
相似文献/References:
[1]王建豪,马怀斌,文龙龙,等.应急场景下个体生理指标变化研究[J].中国安全生产科学技术,2014,10(6):122.[doi:10.11731/j.issn.1673-193x.2014.06.019]
WANG Jian hao,MA Huai bin,WEN Long long,et al.Study on changes of individual physiological indexes under emergency condition[J].Journal of Safety Science and Technology,2014,10(3):122.[doi:10.11731/j.issn.1673-193x.2014.06.019]
[2]汪磊,张之洋,邵铿睿,等.模拟SPO情境中的飞行员脑力负荷测量与分析*[J].中国安全生产科学技术,2022,18(12):26.[doi:10.11731/j.issn.1673-193x.2022.12.004]
WANG Lei,ZHANG Zhiyang,SHAO Kengrui,et al.Measurement and analysis on mental workload of pilot in simulated SPO scenario[J].Journal of Safety Science and Technology,2022,18(3):26.[doi:10.11731/j.issn.1673-193x.2022.12.004]
[3]周建亮,陈玮,范丽萍.基于生理指标的建筑工人攀登作业疲劳实验研究*[J].中国安全生产科学技术,2023,19(3):195.[doi:10.11731/j.issn.1673-193x.2023.03.029]
ZHOU Jianliang,CHEN Wei,FAN Liping.Experimental study on climbing operation fatigue of construction workers based on physiological indexes[J].Journal of Safety Science and Technology,2023,19(3):195.[doi:10.11731/j.issn.1673-193x.2023.03.029]
备注/Memo
- 备注/Memo:
-
收稿日期： 2025-08-28
* 基金项目： 教育部人文社会科学规划基金（23YJA630054）；山西省2025年度研究生学术创新项目（2025XS258）
作者简介： 刘舒怡，硕士研究生，主要研究方向为矿业安全管理。
通信作者： 栗继祖，博士，教授，主要研究方向为矿业安全管理。
