船员工作负荷检测方法研究综述

杨柳; 何萌; 刘清

doi:10.3963/j.jssn.1674-4861.2021.03.001

船员工作负荷检测方法研究综述

doi: 10.3963/j.jssn.1674-4861.2021.03.001

武汉理工大学交通学院武汉 430063

基金项目:

国家自然科学基金项目 51979214

绿色智能内河船舶创新专项 2019（358）

详细信息

作者简介:
杨柳（1992—）博士，讲师.研究方向：交通安全.E-mail：yang.liu@whut.edu.cn

通讯作者:
刘清（1966—）博士，教授.研究方向：交通安全工程.E-mail：lqwhutjt@whut.edu.cn

中图分类号: U6
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- 文章访问数: 375
- HTML全文浏览量: 167
- PDF下载量: 37
- 被引次数: 0
出版历程
- 收稿日期: 2020-06-22

A Review on the Methods of Detecting Workload of Seafarers

School of Transportation, Wuhan University of Technology, Wuhan 430063, China

摘要

摘要: 水上交通安全是水路运输领域的研究热点，船员驾驶行为及决策对水上交通安全有直接的影响，而驾驶行为表现及决策的制定与工作负荷密切相关。因此，船员工作负荷检测研究对预防人为因素导致的水上交通安全事故具有重要意义。通过对船员工作负荷影响因素进行梳理分析，发现个体因素、驾驶任务、驾驶环境以及船舶工况等是影响工作负荷的主要因素。从主观评测方法、任务绩效测量方法和生理数据检测方法3个方面对船员工作负荷检测研究方法进行归纳总结。总结发现：任务绩效测量方法在研究过程中存在一定局限性，主观评测和生理数据检测方法具有易获取数据、对驾驶过程干扰较小等优势，是现阶段较为主流的方法。指出了船员工作负荷检测研究的发展趋势，主要包括工作负荷定量化研究、工作负荷综合评价模型构建、多因素工作负荷影响研究、船员工作负荷实时监测系统构建。
- 交通安全 /
- 船员 /
- 工作负荷 /
- 主观评测 /
- 任务绩效评测 /
- 生理数据检测
Abstract: Maritime safety is a research hotspot in waterway transportation.The driving behaviors and options of seafarers directly affect maritime safety and are related to workload.Therefore, studying workload detection of seafarers is of great significance to prevent maritime accidents caused by human factors.First, individual factors, driving tasks, driving environment, and ship working conditions are the main factors on seafarers'workload.Then, some methods of seafarer workload detection are summarized from subjective evaluation method, task performance measurement method, and physiological data-detection method.There are some limitations in the research process of task performance measurement methods.Subjective evaluation and physiological data-detection methods are mainstream because of easy access to data and less interference to driving.Finally, it points out the development trends of seafarer workload detection: quantitative research on workload, construction of the comprehensive evaluation model of workload, the influence of multiple factors on workload, and construction of monitoring system to detecting workload of seafarers.
- transport safety /
- seafarer /
- workload /
- subjective evaluation /
- task-performance measurement /
- physiological data detection

HTML全文

图 1 工作负荷与工作绩效三阶段模型^[2]

Figure 1. Three-stage model of the workload and job performance^[2]

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图 2 文献关键词共现图

Figure 2. Co-occurrence of keywords in references

下载: 全尺寸图片幻灯片

图 3 船员工作负荷影响因素

Figure 3. Influencing factors of workload

下载: 全尺寸图片幻灯片

参考文献(42)

[1]	范诗琪, 严新平, 张金奋, 等. 水上交通事故中人为因素研究综述[J]. 交通信息与安全, 2017, 35(2): 1-8. https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS201702001.htm FAN Shiqi, YAN Xinping, ZHANG Jinfen, et al. A review on human factors in maritime accidents[J]. Journal of Transport Information and Safety, 2017, 35(2): 1-8. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS201702001.htm
[2]	冯国红, 杨慧敏. 人因工程学[M]. 武汉: 武汉理工大学出版社, 2013. FENG Guohong, YANG Huimin. Human factors engineering[M]. Wuhan: Wuhan University of Technology Press, 2013. (in Chinese).
[3]	林崇德, 杨治良. 心理学大辞典上[M]. 上海: 上海外语教育出版社, 2003. LIN Chongde, YANG Zhiliang. The comprehensive dictionary of psychology[M]. Shanghai: Shanghai Foreign Language Education Press, 2003. (in Chinese).
[4]	BARSAN E, ARSENIE P, PANA I, et al. Analysis of workload and attention factors on human performances of the bridge team[J]. Journal of Maritime Studies, 2007, 21(1): 57-67. http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=27480516&site=ehost-live
[5]	GOULD K S, RØED B K, EVELYN-ROSE S, et al. Effects of navigation method on workload and performance in simulated high-speed ship navigation[J]. Applied Ergonomics, 2009, 40(1): 103-114. doi: 10.1016/j.apergo.2008.01.001
[6]	赵志葳, 朱云琪, 郑恩希, 等. 基于欧洲航运公司的船员疲劳影响因素分析[J]. 大连海事大学学报, 2017, 43(2): 39-44. doi: 10.3969/j.issn.1671-7031.2017.02.008 ZHAO Zhiwei, ZHU Yunqi, ZHENG Enxi, et al. Analysis on the factors affecting seafarers fatigue based on European Navigation Inc[J]. Journal of Dalian Maritime University, 2017, 43(2): 39-44. (in Chinese). doi: 10.3969/j.issn.1671-7031.2017.02.008
[7]	贾宝柱, 谢灯峰, 林叶锦. 海员疲劳及其影响因素[J]. 中国航海, 2018, 41(4): 94-100. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH201804019.htm JIA Baozhu, XIE Dengfeng, LIN Yejin. Seafarers'fatigue and its influential factors[J]. Navigation of China, 2018, 41(4): 94-100. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH201804019.htm
[8]	王黎静, 王晓丽, 何雪丽. 民航飞行员工作负荷影响因素体系研究[J]. 人类工效学, 2016, 22(3): 45-48+57. https://www.cnki.com.cn/Article/CJFDTOTAL-XIAO201603009.htm WANG Lijing, WANG Xiaoli, HE Xueli, The research of the influencing factors system of the civil aviation pilots workload[J]. Chinese Journal of Ergonomics, 2016, 22(3): 45-48+57. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XIAO201603009.htm
[9]	辛甜, 罗志燕, 蒋利添, 等. 飞机着陆阶段飞行员工作负荷分析[J]. 人类工效学, 2019, 25(2): 62-65. https://www.cnki.com.cn/Article/CJFDTOTAL-XIAO201902011.htm XIN Tian, LUO Zhiyan, JIANG Litian, et al. Analysis of pilot's workload in landing phase[J]. Chinese Journal of Ergonomics, 2019, 25(2): 62-65. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XIAO201902011.htm
[10]	YU Chungsan, WANG Minyang, LI Wenchin, et al. Pilots'visual scan patterns and situation awareness in flight operations[J]. Aviation Space and Environmental Medicine, 2014, 85(7): 708-714. doi: 10.3357/ASEM.3847.2014
[11]	袁伟, 郭应时, 付锐, 等. 城市道路类型对驾驶人工作负荷的影响[J]. 长安大学学报(自然科学版), 2014, 34(5): 95-100. doi: 10.3969/j.issn.1671-8879.2014.05.015 YUAN Wei, GUO Yingshi, FU Rui, et al. Influence of urban road section types on drivers'work load[J]. Journal of Chang'an University(Natural Science Edition), 2014, 34(5): 95-100. (in Chinese). doi: 10.3969/j.issn.1671-8879.2014.05.015
[12]	侯丽婷. 基于驾驶人工作负荷的道路交叉口安全评价[D]. 北京: 北京理工大学, 2016. HOU Liting. Safety evaluation on the road intersection based on driver workload[D]. Beijing: Beijing University of Technology, 2016. (in Chinese).
[13]	JANSEN R J, SAWYER B D. Hysteresis in mental workload and task performance[J]. Human Factors, 2016, 58(8): 1143-1157. doi: 10.1177/0018720816669271
[14]	BELLINGER D B, BUDDE B M, MACHIDA M, et al. The effect of cellular telephone conversation and music listening on response time in braking[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2009, 12(6): 441-451. doi: 10.1016/j.trf.2009.08.007
[15]	王炳浩, 魏建勤, 吴永红. 汽车驾驶员瞌睡状态脑电波特征的初步探索[J]. 汽车工程, 2004, 26(1): 70-72. doi: 10.3321/j.issn:1000-680X.2004.01.019 WANG Binghao, WEI Jianqin, WU Yonghong. A preliminary investigation into the brain wave characters of car drivers at dozy state[J]. Automotive Engineering, 2004, 26(1): 70-72. (in Chinese). doi: 10.3321/j.issn:1000-680X.2004.01.019
[16]	柳忠起. 航空工效的眼动研究及其应用[D]. 北京: 北京航空航天大学, 2007. LIU Zhongqi. Eye movement research in aviation ergonomicsand its application[D]. Beijing: Beijing University of Aeronautics and Astronautics, 2007.
[17]	WICKENS C. Engineering psychology and human performance[M]. New York: Harper Collins Publishers, 1984.
[18]	HART S G, STAVELAND L E. Development of NASA-TLX(Task Load Index): Results of empirical and theoretical research[J]. Advances in Psychology, 1988, 52(6): 139-183. http://www.sciencedirect.com/science/article/pii/S0166411508623869
[19]	REID G B. The subjective workload assessment technique: A scaling procedure for measuring mental workload[M]. Netherlands: Elsevier Science Publishers, 1988.
[20]	WU Yanbin, MIWA T, UCHIDA M. Physiological computing for maritime ergonomics applications[C]. International Conference on ICSOT Korea: Safety of Offshore and Subsea Structures in Extreme and Accidental Conditions, Busan, Korea: ICSOT, 2015.
[21]	ORLANDI L, BROOKS B. Measuring mental workload and physiological reactions in marine pilots: Building bridges towards redlines of performance[J]. Applied Ergonomics, 2018(69): 74-92. http://www.ncbi.nlm.nih.gov/pubmed/29477333
[22]	PIGNONI G, KOMANDUR S. Development of a quantitative evaluation tool of cognitive workload in field studies through eye tracking[J]. Engineering Psychology and Cognitive Ergonomics, 2019(11571): 106-122. doi: 10.1007/978-3-030-22507-0_9
[23]	刘维平, 赵凯旋, 聂俊峰, 等. 基于任务的乘员脑力负荷典型主观评价方法[J]. 科学技术与工程, 2018, 18(14): 131-135. doi: 10.3969/j.issn.1671-1815.2018.14.023 LIU Weiping, ZHAO Kaixuan, NIE Junfeng, et al. Typical subjective evaluation method of mental workload of occupant based on task[J]. Science Technology and Engineering, 2018, 18(14): 131-135(in Chinese). doi: 10.3969/j.issn.1671-1815.2018.14.023
[24]	刘伟, 袁修干, 柳忠起, 等. 飞行员扫视、操作绩效及工作负荷的实验研究[J]. 航天医学与医学工程, 2005, 18(4): 293-296. doi: 10.3969/j.issn.1002-0837.2005.04.013 LIU Wei, YUAN Xiugan, LIU Zhongqi, et al. Experimental study of pilots'scan and performance, workloads[J]. Space Medicine and Medical Engineering, 2005, 18(4): 293-296(in Chinese). doi: 10.3969/j.issn.1002-0837.2005.04.013
[25]	廖斌, 冯海荣, 王文轲. 次任务法脑力负荷度量实验的分析与改进[J]. 实验技术与管理, 2014, 31(10): 176-178. doi: 10.3969/j.issn.1002-4956.2014.10.045 LIAO Bin, FENG Hairong, WANG Wenke. Analysis and improvement of mental workload measurement experiment based on subsidiary task technique[J]. Experimental Technology and Management, 2014, 31(10): 176-178. (in Chinese). doi: 10.3969/j.issn.1002-4956.2014.10.045
[26]	王洁, 方卫宁, 李广燕. 基于多资源理论的脑力负荷评价方法[J]. 北京交通大学学报, 2010, 34(6): 107-110. doi: 10.3969/j.issn.1673-0291.2010.06.024 WANG Jie, FANG Weining, LI Guangyan. Mental workload evaluation method based on multi-resource theory model[J]. Journal of Beijing Jiaotong University, 2010, 34(6): 107-110. (in Chinese). doi: 10.3969/j.issn.1673-0291.2010.06.024
[27]	刘伟, 吴玲, 朱诗慧, 等. LCT标准试验环境下的驾驶次任务试验与绩效指标研究[J]. 中国公路学报, 2015, 28(6): 104-111. doi: 10.3969/j.issn.1001-7372.2015.06.014 LIU Wei, WU Ling, ZHU Shihui, et al. Research on task experiment and driving performance indicator under standard lane change test[J]. China Journal of Highway and Transport, 2015, 28(6): 104-111. (in Chinese). doi: 10.3969/j.issn.1001-7372.2015.06.014
[28]	王宥霖, 马如梦, 李晓京, 等. 人机功能分配对于长航时飞行负荷评价的初步研究[J]. 转化医学电子杂志, 2016, 3(2): 84-88. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHDZ201602049.htm WANG Youlin, MA Rumeng, LI Xiaojing, et al. Preliminary study on human-machine function allocation for long-endurance flight load evaluation[J]. E-journal of Translational Medicine, 2016, 3(2): 84-88. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZHDZ201602049.htm
[29]	王禹, 肖毅, 周前祥, 等. 基于脑电信号的脑力负荷监测技术研究现状[J]. 航天医学与医学工程, 2018, 31(5): 577-582. https://www.cnki.com.cn/Article/CJFDTOTAL-HYXB201805015.htm WANG Yu, XIAO Yi, ZHOU Qianxiang, et al. Research progress of mental workload monitoring technology based on EEG[J]. Space Medicine and Medical Engineering, 2018, 31(5): 577-582. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HYXB201805015.htm
[30]	MIKLODY D, UITTERHOEVE W M, HEEL D V, et al. Maritime cognitive workload assessment[C]. International Workshop on Symbiotic Interaction, Padua, Italy: Springer, 2016.
[31]	WU Yanbin, MIWA T, UCHIDA M. Using physiological signals to measure operator's mental workload in shipping-an engine room simulator study(Article)[J]. Journal of Marine Engineering and Technology, 2017, 16(2): 61-69. doi: 10.1080/20464177.2016.1275496
[32]	FAN Shiqi, ZHANG Jinfen, BLANCO-DAVIS E, et al. Effects of seafarers'emotion on human performance using bridge simulation[J]. Ocean Engineering, 2018(170): 111-119. http://www.sciencedirect.com/science/article/pii/S0029801818308102
[33]	LIU Yisi, SUBRAMANIAM S, SOURINA O, et al. EEG-based mental workload and stress recognition of crew members in maritime virtual simulator: A case study[C]. International Conference on Cyberworlds, Chester, United Kingdom: IEEE Computer Society, 2017.
[34]	LIU Yisi, LAN Zirui, GUI Jian, et al. Psychophysiological evaluation of seafarers to improve training in maritime virtual simulator[J]. Advanced Engineering Informatics, 2020(44): 101048. http://www.sciencedirect.com/science/article/pii/S1474034620300173
[35]	MARQUART G, WINTER J D. Workload assessment for mental arithmetic tasks using the task-evoked pupillary response[J]. PeerJ Computer Science, 2015, 1(8): e16. http://www.researchgate.net/publication/281585734_Workload_assessment_for_mental_arithmetic_tasks_using_the_task-evoked_pupillary_response
[36]	PIGNONI G, HAREIDE O S, KOMANDUR S, et al. Trial application of pupillometry for a maritime usability study in field conditions[J]. Necesse, 2019, 4(1): 130-146.
[37]	YAN Shengyuan, WEI Yingying, TRAN C C, et al. Evaluation and prediction mental workload in user interface of maritime operations using eye response[J]. International Journal of Industrial Ergonomics, 2019(71): 117-127. http://www.sciencedirect.com/science/article/pii/S0169814118303330
[38]	NORTH R A, GRAFFUNDER K. Evaluation of a pilot workload metric for simulated VTOL landing tasks[J]. SAGE Publications, 1979, 23(1): 357-361. http://www.ingentaconnect.com/content/hfes/hfproc/1979/00000023/00000005/art00006
[39]	MURAI K, HIGUCHI K, FUJITA T, et al. Evaluation of simulator-based exercise using mental workload monitoring system[C]. 2017 International Conference on Computational Science and Computational Intelligence(CSCI), Las Vegas, Nevada: IEEE, 2017.
[40]	SUGIMOTO I, KITAMURA K, MURAI K, et al. Study on relation between operator and trainee's mental workload for ship maneuvering simulator exercise using heart rate variability[C]. 2016 IEEE International Conference on Systems, Man, and Cybernetics(SMC), Budapest, Hungary: IEEE, 2016.
[41]	KITAMURA K, MURAI K, WAKIDA S I, et al. A ship navigator's mental workload using salivary NO₃^-concentration for simulator-based experiment. [J]. Intelligent Automation and Soft Computing, 2017, 23(1): 161-166. http://smartsearch.nstl.gov.cn/paper_detail.html?id=3fc24130b88074be41fce7564a705853
[42]	WULVIK A S, DYBVIK H, STEINERT M. Investigating the relationship between mental state(workload and affect)and physiology in a control room setting(ship bridge simulator)[J]. Cognition, Technology and Work, 2020, 22(1): 95-108. doi: 10.1007/s10111-019-00553-8