|本期目录/Table of Contents|

[1]李乃梁,陆勇,李开伟.无人机操作主观心理负荷测评与心率数据比较[J].中国安全生产科学技术,2021,17(4):35-41.[doi:10.11731/j.issn.1673-193x.2021.04.006]
　LI Nailiang,LU Yong,LI Kaiwei.Comparison of subjective mental workload evaluation and heart rate data of UAV operation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(4):35-41.[doi:10.11731/j.issn.1673-193x.2021.04.006]
点击复制

无人机操作主观心理负荷测评与心率数据比较
分享到：

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
17
期数:
2021年4期
页码:
35-41
栏目:
学术论著
出版日期:
2021-04-30

文章信息/Info

Title:
Comparison of subjective mental workload evaluation and heart rate data of UAV operation
文章编号:
1673-193X(2021)-04-0035-07
作者:
李乃梁; 陆勇; 李开伟
（1.中国矿业大学 工业工程系，江苏 徐州 221000；
2.中华大学 工业管理系，台湾 新竹 30012）
Author(s):
LI Nailiang;  LU Yong;  LI Kaiwei
(1.Department of Industrial Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221000,China;
2.Department of Industrial Management,Chung Hua University,Hsinchu Taiwan 30012,China)
关键词:
心理负荷; 无人机; 主观量表; 心率; NASA-TLX量表
Keywords:
mental workload;  unmanned aerial vehicle (UAV);  subjective rating scale;  heart rate;  NASA-TLX scale
分类号:
X911
DOI:
10.11731/j.issn.1673-193x.2021.04.006
文献标志码:
A
摘要:
为探究在无人机实操试验的心理负荷测量中主观量表与心率测评工具的性能，招募14名从未接触过无人机操作的被试者，在参加飞行操作培训后进行4种不同难度的无人机飞行操作情景试验；使用Polar V800监测被试者试验过程中的心率变化，并在试验结束后采用NASA-TLX，MCH，SWAT 3种主观量表进行评分，以比较飞行难度间各指标的性能差异。结果表明：随着难度增大，呈现出主观评分与MEANHR增大，MEANRR减小的趋势；所有测量指标均能区分大部分难度差异，主观量表之间存在正相关性且收敛效度良好，量表评分与绩效表现之间关联性较强；主观量表与心率指标能够对无人机操作中的心理负荷进行有效的测量，这为未来无人机操作心理负荷的预测提供测量基础。
Abstract:
In order to explore the performance of subjective scale and heart rate evaluation tool in the metal workload measurement of the UAV operation test,14 subjects without UAV operation experience were recruited,and after participating in the flight operation training,four types of UAV flight operation scenario tests with different difficulties were carried out.The Polar V800 was used to monitor the participants’ heart rate changes during the test,and 3 subjective scales of NASA-TLX,MCH,SWAT were used to score after the test,so as to compare the performance difference of each index between the flight difficulty.The results showed that as the difficulty increased,the subjective score and MEANHR increased,and the MEANRR decreased.All the measurement indexes could distinguish most difficulty difference,and there was a positive correlation between the subjective scales with good convergence validity.There was a strong correlation between scale scores and performance.The subjective scales and heart rate indexes could effectively measure the mental workload in the UAV operation,which provides a measurement basis for predicting the mental workload of UAV operation in the future.

参考文献/References:

［1］TVARYANAS A P.USAF UAV mishap epidemiology,1997—2003［C］//Human Factors of Uninhabited Aerial Vehicles First Annual Workshop,Phoenix,AZ.2004.
［2］LI K W,JIA H,PENG L,et al.Line-of-sight in operating a small unmanned aerial vehicle:how far can a quadcopter fly in line-of-sight?［J］.Applied Ergonomics,2019,81:102898.
［3］RUBIO S,DAZ E,MARTN J,et al.Evaluation of subjective mental workload:acomparison of SWAT,NASA-TLX,and workload profile methods［J］.Applied Psychology,2004,53(1):61-86.
［4］WICKENSC D.Multiple resources and mental workload［J］.Human Factors:The Journal of the Human Factors and Ergonomics Society,2008,50(3):449-455.
［5］PAAS F,TUOVINEN J E,TABBERS H,et al.Cognitive load measurement as a means to advance cognitive load theory［J］.Educational Psychologist,2003,38(1):63-71.
［6］MYRTEK M,DEUTSCHMANN-JANICKE E,STROHMAIER H,et al.Physical,mental,emotional,and subjective workload components in train drivers［J］.Ergonomics,1994,37(7):1195-1203.
［7］MANSIKKA H,VIRTANEN K,HARRIS D.Comparison of NASA-TLX scale,modified Cooper-Harper scale and mean inter-beat interval as measures of pilot mental workload during simulated flight tasks［J］.Ergonomics,2019,62(2):246-254.
［8］王春雪.建筑施工塔式起重机司机作业心理负荷研究［J］.中国安全生产科学技术,2016,12(S1):78-83. WAGN Chunxue.Study on mental workload of tower crane operator in building construction［J］.Journal of Safety Science and Technology,2016,12(S1):78-83.
［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(2):62-65.
［10］WILSON G F.In-flight psychophysiological monitoring［J］.Progress in Ambulatory Assessment,2001(4):435-454.
［11］CHRIST P F,LACHNER F,AXEL H,et al.Human-drone-interaction:a case study to investigate the relation between autonomy and user experience［M］.Computer Vision-ECCV 2016 Workshops.Cham,Switzerland:Springer,2016.
［12］GABRIEL G,RAMALLO M A,CERVANTES E.Workload perception in drone flight training simulators［J］.Computers in Human Behavior,2016,64:449-454.
［13］RICHARDS D,IZZETOGLU K,SHELTON G.UAV operator mental workload:aneurophysiological comparison of mental workload and vigilance［C］//AIAA Modeling and Simulation Technologies Conference.2017.
［14］CANNON D,SIEGEL M.Perceived mental workload and operator performance of dexterous manipulators under time delay with master-slave interfaces［C］//2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).IEEE,2015:1-6.
［15］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).IEEE,2016:768-772.
［16］CHARKHANDAZ Y R,ALIMOHAMMADI I,ABOLGHASEMI J,et al.Validity and reliability of Verbal Online Subjective Opinion (VOSO) and modified cooper-harper scales in measuring of mental workload［J］.Journal of Occupational Hygiene Engineering,2016,3(3):24-31.
［17］WICKENS C.Multipleresources and mental workload［J］.The Journal of the Human Factors and Ergonomics Society,2008,50(3):449-455.
［18］HART S G,STAVELAND L E.Development of NASA-TLX (task load index):results of empirical and theoretical research［M］.North-Holland:Elsevier,1988.
［19］REID G B,NYGREN T E.The subjective workload assessment technique:ascaling procedure for measuring mental workload［M］.North-Holland:Elsevier,1988.
［20］COOPER G E,HARPER J R R P.The use of pilot rating in the evaluation of aircraft handling qualities［R］.Advisory group for aerospace research and development Neuilly-Sur-Seine (France),1969.
［21］HART,S.G.Nasa-task load index (NASA-TLX);20 years later［C］//Proceedings of the Human Factors & Ergonomics Society Annual Meeting.2006:904-908.

相似文献/References:

[1]马国超,王立娟,马松,等.基于激光扫描和无人机倾斜摄影的露天采场安全监测应用[J].中国安全生产科学技术,2017,13(5):73.[doi:10.11731/j.issn.1673-193x.2017.05.012]
　MA Guochao,WANG Lijuan,MA Song,et al.Application of safety monitoring in open pit based on laser scanning and UAV oblique photography[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(4):73.[doi:10.11731/j.issn.1673-193x.2017.05.012]
[2]陈利琼,杜博文,吴东容.无人机在山区河流溢油事故溢油寻踪中的应用[J].中国安全生产科学技术,2019,15(7):161.[doi:10.11731/j.issn.1673-193x.2019.07.026]
　CHEN Liqiong,DU Bowen,WU Dongrong.Application of UAV for oil spill pursuit of oil spill accidents in mountain river[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(4):161.[doi:10.11731/j.issn.1673-193x.2019.07.026]
[3]晋良海,尹洁,张荣坤,等.塔机驾驶员的持续性视觉注意负荷研究[J].中国安全生产科学技术,2018,14(3):157.[doi:10.11731/j.issn.1673-193x.2018.03.023]
　JIN Lianghai,YIN Jie,ZHANG Rongkun,et al.Study on continuous visual attention load of tower crane driver[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(4):157.[doi:10.11731/j.issn.1673-193x.2018.03.023]
[4]杨超,杨鹏,吕文生,等.基于无人机摄影测量的尾矿坝边坡表面变形监测*[J].中国安全生产科学技术,2021,17(5):5.[doi:10.11731/j.issn.1673-193x.2021.05.001]
　YANG Chao,YANG Peng,LYU Wensheng,et al.Surface deformation monitoring of tailings dam slope based on UAV photogrammetry[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(4):5.[doi:10.11731/j.issn.1673-193x.2021.05.001]
[5]刘聪,谌哲宇,储天羽,等.悬停状态双旋翼气动干扰与安全间隔研究*[J].中国安全生产科学技术,2021,17(12):30.[doi:10.11731/j.issn.1673-193x.2021.12.005]
　LIU Cong,CHEN Zheyu,CHU Tianyu,et al.Research on aerodynamic interaction and safety separation of twin rotors under hovering state[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(4):30.[doi:10.11731/j.issn.1673-193x.2021.12.005]
[6]张洪海,周锦伦,于文娟,等.基于HMM和DT的无人机异常检测方法*[J].中国安全生产科学技术,2022,18(3):193.[doi:10.11731/j.issn.1673-193x.2022.03.029]
　ZHANG Honghai,ZHOU Jinlun,YU Wenjuan,et al.Anomaly detection method of UAV based on hidden Markov model and decision tree[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(4):193.[doi:10.11731/j.issn.1673-193x.2022.03.029]
[7]吕伟,师远,汪京辉,等.复杂建筑空间人员应急疏散的无人机引导模型研究*[J].中国安全生产科学技术,2022,18(11):32.[doi:10.11731/j.issn.1673-193x.2022.11.005]
　LYU Wei,SHI Yuan,WANG Jinghui,et al.Research on UAV guidance model for emergency evacuation of personnel in complex building space[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(4):32.[doi:10.11731/j.issn.1673-193x.2022.11.005]
[8]郝腾腾,郑欣,王慧宇,等.基于多模态信息融合的心理负荷评估*[J].中国安全生产科学技术,2022,18(12):12.[doi:10.11731/j.issn.1673-193x.2022.12.002]
　HAO Tengteng,ZHENG Xin,WANG Huiyu,et al.Mental load assessment based on multi-modality information fusion[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(4):12.[doi:10.11731/j.issn.1673-193x.2022.12.002]
[9]袁丁,王艳红,雒旭峰.基于自适应滤波的无人机视觉导航误差补偿方法研究*[J].中国安全生产科学技术,2023,19(6):193.[doi:10.11731/j.issn.1673-193x.2023.06.027]
　YUAN Ding,WANG Yanhong,LUO Xufeng.Study on error compensation method of UAV visual navigation based on adaptive filtering[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(4):193.[doi:10.11731/j.issn.1673-193x.2023.06.027]
[10]张健,罗鑫悦,黎宗孝,等.基于动态贝叶斯网络的无人机航迹模型研究*[J].中国安全生产科学技术,2023,19(11):188.[doi:10.11731/j.issn.1673-193x.2023.11.026]
　ZHANG Jian,LUO Xinyue,LI Zongxiao,et al.Research on UAV track model based on dynamic Bayesian network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(4):188.[doi:10.11731/j.issn.1673-193x.2023.11.026]

备注/Memo

备注/Memo:
收稿日期： 2020-09-25
作者简介： 李乃梁，博士，副教授，主要研究方向为人因工程、质量工程。
更新日期/Last Update: 2021-05-09