工程车辆人机交互设计研究综述

钱晓松; 展九鼎; 孙锦平

doi:10.19554/j.cnki.1001-3563.2026.12.002

PDF(3626 KB)

包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (12) : 10-28. DOI: 10.19554/j.cnki.1001-3563.2026.12.002

专题：高端车辆装备智造系统创新

工程车辆人机交互设计研究综述

钱晓松^*, 展九鼎, 孙锦平

作者信息 +

Human-machine Interaction Design for Engineering Vehicles: A Literature Review

QIAN Xiaosong^*, ZHAN Jiuding, SUN Jinping

Author information +

文章历史 +

摘要

目的聚焦工程车辆人机交互领域,旨在系统梳理其研究现状与前沿热点,剖析智能化背景下的工程车辆人机交互发展面临的核心挑战,为相关学术研究与工程实践提供理论参考。方法基于文献计量分析方法,运用CiteSpace对Web of Science核心合集和中国知网（CNKI）数据库2020至2025年的相关文献进行科学知识图谱分析并结合内容分析法对研究热点与发展趋势进行归纳提炼。结果当前研究主要沿座舱布局优化、操作员状态监测、任务建模分析、人机交互界面设计与虚实融合增强五大方向演进,揭示了该领域面临着作业体验不佳、交互质量不足与人机信任缺失等突出挑战。结论本文多角度构建了工程车辆人机交互近期研究的知识图谱,明确了研究热点与核心瓶颈,为推动相关研究从经验驱动向数据驱动转型提供了理论依据。

Abstract

The work aims to systematically review the research status and cutting-edge hotspots of human-machine interaction (HMI) for engineering vehicles, analyze core challenges faced by the development of human-machine interaction for engineering vehicles in the context of intelligent transformation, and provide theoretical references for relevant academic research and engineering practice. Based on bibliometric analysis, CiteSpace was used to conduct scientific knowledge graph analysis on relevant literature from the Web of Science Core Collection and CNKI databases from 2020 to 2025. Combined with content analysis, research hotspots and development trends were summarized and refined. Current research mainly concentrates on five technical directions, including cockpit layout optimization, operator status monitoring, task modeling analysis, human-machine interface design, and virtual-real fusion enhancement, revealing that the field is confronted with prominent challenges including poor operational experience, insufficient interaction quality, and the lack of human-machine trust. This paper constructs the knowledge graph of recent research on human-machine interaction for engineering vehicles from multiple perspectives, identifies the research hotspots and core bottlenecks, and provides a theoretical basis for promoting the transformation of relevant research from experience-driven to data-driven.

导出引用1

钱晓松, 展九鼎, 孙锦平. 工程车辆人机交互设计研究综述[J]. 包装工程. 2026, 47(12): 10-28 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.002

QIAN Xiaosong, ZHAN Jiuding, SUN Jinping. Human-machine Interaction Design for Engineering Vehicles: A Literature Review[J]. Packaging Engineering. 2026, 47(12): 10-28 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.002

中图分类号： TB482

参考文献

[1] FENG J, CHEN W, LIU C, et al.Advancements and Challenges in Earthmoving Equipment Automation Using Core Technologies[J]. Automation in Construction, 2025, 179: 106472.
[2] ERALIEV O M U, LEE K H, SHIN D Y, et al. Sensing, Perception, Decision, Planning and Action of Autonomous Excavators[J]. Automation in Construction, 2022, 141: 104428.
[3] CODOCEO-CONTRERAS L, RYBAK N, HASSALL M.Exploring the Impacts of Automation in the Mining Industry: A Systematic Review Using Natural Language Processing[J]. Mining Technology: Transactions of the Institutions of Mining and Metallurgy, 2024, 133(3): 191-213.
[4] ROGERS W P, KAHRAMAN M M, DREWS F A, et al.Automation in the Mining Industry: Review of Technology, Systems, Human Factors, and Political Risk[J]. Mining, Metallurgy & Exploration, 2019, 36(4): 607-631.
[5] LONG M, SCHAFRIK S, KOLAPO P, et al.Equipment and Operations Automation in Mining: A Review[J]. Machines, 2024, 12(10): 713.
[6] NOBAHAR P, XU C, DOWD P, et al.Exploring Digital Twin Systems in Mining Operations: A Review[J]. Green and Smart Mining Engineering, 2024, 1(4): 474-492.
[7] YOU K, DING L, ZHOU C, et al.5G-Based Earthwork Monitoring System for An Unmanned Bulldozer[J]. Automation In Construction, 2021, 131: 103891.
[8] YOU K, ZHOU C, DING L, et al.Earthwork Digital Twin for Teleoperation of An Automated Bulldozer in Edge Dumping[J]. Journal of Field Robotics, 2023, 40(8): 1945-1963.
[9] 《中国公路学报》编辑部. 中国筑路机械学术研究综述·2018[J]. 中国公路学报, 2018, 31(6): 1-164.
Editorial Department of China Journal of Highway and Transport. Review on China's Road Construction Machinery Research Progress: 2018[J]. China Journal of Highway and Transport, 2018, 31(6): 1-164.
[10] 代明远, 路易霖, 王硕, 等. 基于虚拟现实的工程机械人机工程设计研究进展[J]. 机械设计, 2020, 37(7): 116-123.
DAI M Y, LU Y L, WANG S, et al.Research Progress on Engineering Mechanical Ergonomic design Based on Virtual Reality Technology[J]. Journal of Machine Design, 2020, 37(7): 116-123.
[11] 李国清, 王浩, 侯杰, 等. 地下金属矿山智能化技术进展[J]. 金属矿山, 2021(11): 1-12.
LI G Q, WANG H, HOU J, et al.Progress of Intelligent Technology in Underground Metal Mines[J]. Metal Mine, 2021(11): 1-12.
[12] ZHAN Y, ZHANG Y, NIE Z, et al.Intelligent Paving and Compaction Technologies for Asphalt Pavement[J]. Automation in Construction, 2023, 156: 105081.
[13] ZHANG L, ZHAO J, LONG P, et al. An Autonomous Excavator System for Material Loading Tasks[J]. Science Robotics, 2021, 6(55): eabc3164.
[14] 易军, 颜胡. 工程机械工业设计知识库构建方案研究[J]. 包装工程, 2020, 41(18): 71-77.
YI J, YAN H.Program of Engineering Machinery Industrial Design Knowledge Base[J]. Packaging Engineering, 2020, 41(18): 71-77.
[15] SHIMAPONDA-NAWA M, NWAILA G T.Integrated and Intelligent Remote Operation Centres (I2ROCs): Assessing the Human-Machine Requirements for 21st Century Mining Operations[J]. Minerals Engineering, 2024, 207: 108565.
[16] OKONKWO C, AWOLUSI I.Environmental Sensing in Autonomous Construction Robots: Applicable Technologies and Systems[J]. Automation in Construction, 2025, 172: 106075.
[17] ZHOU Z, ABDI E, CHEA C P, et al.Global Path Planning for Autonomous Construction Vehicles in Building Construction: A Comparative Study with A Focus on Vehicle Kinematic Characteristics[J]. Journal of Building Engineering, 2024, 93: 109837.
[18] DING H, SANG Z, LI Z, et al.Trajectory Planning and Control of Large Robotic Excavators Based on Inclination-Displacement Mapping[J]. Automation in Construction, 2024, 158: 105209.
[19] JUD D, KERSCHER S, WERMELINGER M, et al.Heap-The Autonomous Walking Excavator[J]. Automation in Construction, 2021, 129: 103783.
[20] LIU Z, KIM J I.Autonomous Earthwork Machinery for Urban Construction: A Review of Integrated Control, Fleet Coordination, and Safety Assurance[J]. Buildings, 2025, 15(14): 2570.
[21] LUND E.Autonomy for Whom? Implications of Cyber- Physical Mining Systems for Operator Work and Organisation[J]. Applied Ergonomics, 2026, 132: 104684.
[22] THEISSEN M, KERN L, HARTMANN T, et al.Use-Case-Oriented Evaluation of Wireless Communication Technologies for Advanced Underground Mining Operations[J]. Sensors, 2023, 23(7): 3537.
[23] AKYEAMPONG J, UDOKA S, CARUSO G, et al.Evaluation of Hydraulic Excavator Human-Machine Interface Concepts Using NASA TLX[J]. International Journal of Industrial Ergonomics, 2014, 44(3): 374-382.
[24] SATO R, KAMEZAKI M, YAMADA M, et al.Environmental Camera Placements for Skilled Operators in Unmanned Construction[J]. Automation in Construction, 2020, 119: 103294.
[25] PARASURAMAN R, SHERIDAN T B, WICKENS C D.A Model for Types and Levels of Human Interaction with Automation[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2000, 30(3): 286-297.
[26] RODRIGUES P B, SINGH R, OYTUN M, et al.A Multidimensional Taxonomy for Human-Robot Interaction in Construction[J]. Automation in Construction, 2023, 150: 104845.
[27] LEE J S, HAM Y, PARK H, et al.Challenges, Tasks, and Opportunities in Teleoperation of Excavator Toward Human-in-the-Loop Construction Automation[J]. Automation in Construction, 2022, 135: 104119.
[28] TAN Z, DAI N, SU Y, et al.Human-Machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities[J]. IEEE Transactions On Intelligent Transportation Systems, 2021, 23(9): 13954-13975.
[29] 于向军, 槐元辉, 姚宗伟, 等. 工程车辆无人驾驶关键技术[J]. 吉林大学学报(工学版), 2021, 51(4): 1153-1168.
YU X J, HUAI Y H, YAO Z W, et al.Key Technologies in Autonomous Vehicle for Engineering[J]. Journal of Jilin University (Engineering and Technology Edition), 2021, 51(4): 1153-1168.
[30] KITTUSAMY N K, BUCHHOLZ B.Whole-Body Vibration and Postural Stress Among Operators of Construction Equipment: A Literature Review[J]. Journal of Safety Research, 2004, 35(3): 255-261.
[31] 王一甲, 王余锐, 金立生. 基于人机工程的驾驶室舒适性设计与仿真研究[J]. 农机化研究, 2016, 38(12): 247-253.
WANG Y J, WANG Y R, JIN L S.Research on Ergonomic Comfort Design and Simulation of Cab[J]. Journal of Agricultural Mechanization Research, 2016, 38(12): 247-253.
[32] DADHICH S, BODIN U, ANDERSSON U.Key Challenges in Automation of Earth-Moving Machines[J]. Automation in Construction, 2016, 68: 212-222.
[33] OKISHIBA S, FUKUI R, TAKAGI M, et al.Tablet Interface for Direct Vision Teleoperation of an Excavator for Urban Construction Work[J]. Automation in Construction, 2019, 102: 17-26.
[34] FABRICIUS V, HABIBOVIC A, RIZGARY D, et al.Interactions Between Heavy Trucks and Vulnerable Road Users—a Systematic Review to Inform the Interactive Capabilities of Highly Automated Trucks[J]. Frontiers in Robotics and AI, 2022, 9: 818019.
[35] 徐娟芳, 陈子昂. 基于eHMI的车外人机交互信任影响因素研究[J]. 包装工程, 2024, 45(14): 225-232.
XU J F, CHEN Z A.Influencing Factor of Trust in External Human-machine Interface[J]. Packaging Engineering, 2024, 45(14): 225-232.
[36] FAGERLÖNN J, ZHANG Y, ORRELL L, et al. Interaction with Automated Heavy Vehicles Using Gestures and External Interfaces in Underground Mines[M]// International Conference on Human-Computer Interaction. Cham: Springer Nature Switzerland, 2023: 255-267.
[37] BASAÑEZ L, SUÁREZ R. Teleoperation[M]//Springer Handbook of Automation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009: 449-468.
[38] LEE J, KIM B, SUN D, et al.Development of Unmanned Excavator Vehicle System for Performing Dangerous Construction Work[J]. Sensors, 2019, 19(22): 4853.
[39] 张清慧, 陈谊, 武彩霞. 基于词表示模型的领域文献数据可视分析方法[J]. 图学学报, 2022, 43(4): 685-694.
ZHANG Q H, CHEN Y, WU C X.A Visual Analysis Approach for Domain Literature Data Based on Word Representation Model[J]. Journal of Graphics, 2022, 43(4): 685-694.
[40] 刘键, 严扬. 以用户为中心的工程机械驾驶室设计方法研究[J]. 包装工程, 2016, 37(2): 108-112.
LIU J, YAN Y.Construction Machinery Cab Design Method Based on Users[J]. Packaging Engineering, 2016, 37(2): 108-112.
[41] 罗晓庆, 张玉萍, 杨一, 等. 基于AHP的塔式起重机智能驾驶室设计研究[J]. 包装工程, 2022, 43(16): 144-152.
LUO X Q, ZHANG Y P, YANG Y, et al.Design and Research of Tower Crane Intelligent Cab Based on AHP[J]. Packaging Engineering, 2022, 43(16): 144-152.
[42] 王沈策, 梁嘉豪, 史雨霖. 基于Jack的挖掘装载机驾驶室人机工程分析与改进设计[J]. 机械设计, 2024, 41(2): 170-176.
WANG S C, LIANG J H, SHI Y L.Ergonomic Analysis and Improved Design of Backhoe Loader Cab Based on Jack[J]. Journal of Machine Design, 2024, 41(2): 170-176.
[43] BREESE J T, FUHRMANN A M, DUFFY V G, et al.Developing ergonomic design recommendations using human-centric RAMSIS analysis[C]//International Conference on Human-Computer Interaction, Cham: Springer Nature Switzerland, 2022: 96-112.
[44] 边轩毅, 赵静, 李娟莉. WK-35大型矿用挖掘机驾驶室人机工程改进设计[J]. 矿业研究与开发, 2019, 39(7): 92-98.
BIAN X Y, ZHAO J, LI J L.Ergonomic Improvement Design of WK-35 Large Mining Excavator Cab[J]. Mining Research and Development, 2019, 39(7): 92-98.
[45] 张芳燕, 刘国闯, 张磊, 等. 基于Jack的反铲式挖掘机驾驶室人机工程仿真分析与设计改进[J]. 机械设计, 2023, 40(6): 145-152.
ZHANG F Y, LIU G C, ZHANG L, et al.Ergonomic Simulation Analysis and Improvement Design of Backhoe Excavator Cab Based on Jack[J]. Journal of Machine Design, 2023, 40(6): 145-152.
[46] 李博, 任重熙, 刘玉荣, 等. 基于Jack与NSGA-Ⅱ的井下工程机械人机布局优化设计[J]. 机械设计, 2025, 42(10): 211-217.
LI B, REN Z X, LIU Y R, et al.Ergonomic Layout Optimization of Mining Machinery Based on Jack and NSGA-II[J]. Journal of Machine Design, 2025, 42(10): 211-217.
[47] BARRON P J, OWENDE P M O, MCDONNELL K P, et al. A Method for Assessment of Degradation of Task Visibility from Operator Cabins of Field Machines[J]. International Journal of Industrial Ergonomics, 2005, 35(7): 665-673.
[48] CHENG T, TEIZER J.Modeling Tower Crane Operator Visibility to Minimize the Risk of Limited Situational Awareness[J]. Journal of Computing in Civil Engineering, 2014, 28(3): 04014004.
[49] 顾炎辉, 王杭, 张弛. 挖掘机驾驶舱内装人机工程设计与仿真分析[J]. 机械设计, 2021, 38(12): 140-144.
GU Y H, WANG H, ZHANG C.Ergonomic Design and Simulation Analysis of Excavator Cockpit Interiors[J]. Journal of Machine Design, 2021, 38(12): 140-144.
[50] 田保珍, 周垒, 杨刚俊, 等. 装载机驾驶室方向盘倾角对肌肉疲劳的影响研究[J]. 中国工程机械学报, 2024, 22(2): 169-173.
TIAN B Z, ZHOU L, YANG G J, et al.Research on the Influence of Steering Wheel Angle of Loader Cab on Muscle Fatigue[J]. Chinese Journal of Construction Machinery, 2024, 22(2): 169-173.
[51] 杨爱萍, 呼慧敏, 程光, 等. 土方机械踏板操纵力试验研究[J]. 机械设计, 2020, 37(4): 83-88.
YANG A P, HU H M, CHENG G, et al.Experimental Research on the Manipulating Force Exerted on the Pedal of the Earthmoving Machinery[J]. Journal of Machine Design, 2020, 37(4): 83-88.
[52] 王年文, 苗颖彬, 张立杰. 工程车辆操控台造型优化设计[J]. 机械设计, 2020, 37(8): 127-133.
WANG N W, MIAO Y B, ZHANG L J.Modeling Optimization Design of Construction Vehicle Console[J]. Journal of Machine Design, 2020, 37(8): 127-133.
[53] 张宏瑞, 任家骏, 李爱峰, 等. 大型矿用挖掘机驾驶室造型的模糊TOPSIS评价方法[J]. 机械设计与制造, 2022(11): 33-36, 43.
ZHANG H R, REN J J, LI A F, et al.Evaluation Method of Cab Modeling of Large Mining Excavator[J]. Machinery Design & Manufacture, 2022(11): 33-36, 43.
[54] 冯青, 郝秀丽, 杨延璞, 等. 基于RULA与QPSO的矿用挖掘机操作界面布局优化研究[J]. 包装工程, 2023, 44(18): 155-165.
FENG Q, HAO X L, YANG Y P, et al.Optimization of Mining Excavator Operation Interface Layout Based on RULA and QPSO[J]. Packaging Engineering, 2023, 44(18): 155-165.
[55] 丁传锋. 基于多属性群决策驾驶室人机工程评价分析[J]. 机械设计与制造, 2020(5): 189-192, 197.
DING C F.Human Engineering Analysis of Engineering Truck’s Cab Based on Multi-Attribute Group Decision-Making[J]. Machinery Design & Manufacture, 2020(5): 189-192, 197.
[56] RAUFI B, LONGO L.An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload[J]. Frontiers in Neuroinformatics, 2022, 16: 861967.
[57] MEHMOOD I, LI H, QAROUT Y, et al.Deep Learning-Based Construction Equipment Operators’ Mental Fatigue Classification Using Wearable EEG Sensor Data[J]. Advanced Engineering Informatics, 2023, 56: 101978.
[58] ZAHABI S J N, ISLAM M S, KIM S, et al. Cognitive Workload Assessment During VR Forklift Training[J]. International Journal of Industrial Ergonomics, 2025, 107: 103718.
[59] 刘天程, 常若松, 解芳, 等. 基于脑电信号精准识别特种车辆作业人员视听通道工作负荷[J]. 兵工学报, 2025, 46(5): 264-275.
LIU T C, CHANG R S, XIE F, et al.Identification of Auditory and Visual Channel Workloads of Special Vehicle Operators Based on EEG Indicators[J]. Acta Armamentarii, 2025, 46(5): 264-275.
[60] SUN J, LIU G, SUN Y, et al.Application of Surface Electromyography in Exercise Fatigue: A Review[J]. Frontiers in Systems Neuroscience, 2022, 16: 893275.
[61] CHEN W, SAWARAGI T, HIRAOKA T.Comparing Eye-Tracking Metrics of Mental Workload Caused by NDRTs In Semi-Autonomous Driving[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2022, 89: 109-128.
[62] DE WINTER J C F, EISMA Y B, CABRALL C D D, et al. Situation Awareness Based on Eye Movements in Relation to the Task Environment[J]. Cognition, Technology & Work, 2019, 21(1): 99-111.
[63] YAMANOBE K, YOKOTA K, UENOYAMA D, et al.Mixed-Reality Simulator for Analysis of Interactions Between Humans and Crawler Cranes[C]// 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), Himeji, 2024: 1-3.
[64] KANG Y, ZHOU X, CHEN W, et al.Investigating the Relationship Between Eye Movements and the Situation Awareness of Forklift Operators for Accident Prevention[J]. International Journal of Occupational Safety and Ergonomics, 2023, 29(4): 1477-1485.
[65] DAS S, MAITI J, KRISHNA O B.Assessing Mental Workload in Virtual Reality Based EOT Crane Operations: A Multi-Measure Approach[J]. International Journal of Industrial Ergonomics, 2020, 80: 103017.
[66] CHEW J Y, KAWAMOTO M, OKUMA T, et al.Adaptive Attention-Based Human Machine Interface System for Teleoperation of Industrial Vehicle[J]. Scientific Reports, 2021, 11(1): 17284.
[67] 欧静, 郑云爽, 赵江洪, 等. 基于行为分析的叉车驾驶室造型设计研究[J]. 包装工程, 2019, 40(14): 128-134.
OU J, ZHENG Y S, ZHAO J H, et al.Driving Behavior Analytics-based Forklift Cab Appearance Design[J]. Packaging Engineering, 2019, 40(14): 128-134.
[68] KAMEZAKI M, IWATA H, SUGANO S.Development of operator support system with primitive static states for intelligent construction machinery[C]//2009 IEEE International Conference on Mechatronics, Malaga, 2009: 1-6.
[69] GONG J, CALDAS C H, GORDON C.Learning and Classifying Actions of Construction Workers and Equipment Using Bag-of-Video-Feature-Words and Bayesian Network Models[J]. Advanced Engineering Informatics, 2011, 25(4): 771-782.
[70] JIN Z, PAGILLA P R, MASKE H, et al.Task Learning, Intent Prediction, and Adaptive Blended Shared Control with Application to Excavators[J]. IEEE Transactions on Control Systems Technology, 2021, 29(1): 18-28.
[71] AGAMENNONI G, NIETO J I, NEBOT E M.A Bayesian Approach for Driving Behavior Inference[C]//2011 IEEE Intelligent Vehicles Symposium (IV), Baden, 2011: 595-600.
[72] 王沈策, 刘瑶, 王贞, 等. 面向人机交互的轨道维护工程机械内室设计研究[J]. 包装工程, 2020, 41(22): 60-65.
WANG S C, LIU Y, WANG Z, et al.Cab Design of Rail Maintenance Engineering Machinery for Human- Machine Interaction[J]. Packaging Engineering, 2020, 41(22): 60-65.
[73] 张伟, 张睿瑞, 朱春潮, 等. 基于智能化趋势的工程机械界面设计研究[J]. 包装工程, 2021, 42(24): 389-393, 400.
ZHANG W, ZHANG R R, ZHU C C, et al.Interface Design of Construction Machinery Based on Intelligent Trend[J]. Packaging Engineering, 2021, 42(24): 389-393, 400.
[74] 胡鹤凡, 朱荣熙, 王永帅. 基于FBS的汽车起重机远程操控系统人机交互设计研究[J]. 包装工程, 2024, 45(16): 448-454.
HU H F, ZHU R X, WANG Y S.Human-Computer Interaction Design of Remote Control System for Automobile Crane Based on FBS[J]. Packaging Engineering, 2024, 45(16): 448-454.
[75] CHAE Y, GUPTA S, HAM Y.Divergent Effects of Visual Interfaces on Teleoperation for Challenging Jobsite Environments[J]. Automation in Construction, 2024, 167: 105683.
[76] HILTUNEN M, HEIKKILA R, NISKANEN I, et al.Open InfraBIM for Remote and Autonomous Excavation[J]. Automation in Construction, 2023, 156: 105148.
[77] RODRIGUES P B, BECERIK-GERBER B, SOIBELMAN L, et al.Impact of Selective Environmental Sound Attenuation on Operator Performance, Stress, Attention, and Task Engagement in Teleoperated Demolition[J]. Automation in Construction, 2025, 169: 105876.
[78] SITOMPUL T A, FAHLEN T, LINDELL R.Handling Constant and Changing Latency with Graphical User Interfaces: A Study with Remote Crane Operators[C]// 2024 IEEE Conference on Telepresence, Pasadena, 2024: 49-56.
[79] BREMNER P, MITCHELL T J, MCINTOSH V.The Impact of Data Sonification in Virtual Reality Robot Teleoperation[J]. Frontiers in Virtual Reality, 2022, 3: 904720.
[80] LIU D, LI H, CHEN Y, et al.Enhancing Safety in Remote Takeover of Highly Automated Mining Trucks: What Are the Different Effects of Audiovisual Takeover Requests Under Daytime and Nighttime Conditions?[J]. Accident Analysis & Prevention, 2026, 227: 108383.
[81] LEE J S, HAM Y, PARK H, et al.Enhancing Excavation Performance and Situational Awareness in Construction Teleoperation Using Electro-Tactile Feedback[J]. Automation in Construction, 2025, 177: 106366.
[82] SUZUKI K, MURAKAMI T.Anti-Sway Control of Crane System by Equivalent Force Feedback of Load[C]// 2013 IEEE International Conference on Mechatronics (ICM), Vicenza, 2013: 688-693.
[83] FARKHATDINOV I, RYU J H.A Study on the Role of Force Feedback for Teleoperation of Industrial Overhead Crane[C]// International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, Berlin, 2008: 796-805.
[84] VAHDATIKHAKI F, EL AMMARI K, LANGROODI A K, et al.Beyond Data Visualization: A Context-Realistic Construction Equipment Training Simulators[J]. Automation in Construction, 2019, 106: 102853.
[85] ZUCHOWICZ P, LEWCZUK K.Leveraging Immersive Technologies for Safety Evaluation in Forklift Operations[J]. Applied Sciences-Basel, 2025, 15(20): 11048.
[86] ADAMI P, RODRIGUES P B, WOODS P J, et al.Effectiveness of VR-Based Training on Improving Construction Workers' Knowledge, Skills, and Safety Behavior in Robotic Teleoperation[J]. Advanced Engineering Informatics, 2021, 50: 101431.
[87] LIU D, KIM J, HAM Y.Multi-User Immersive Environment for Excavator Teleoperation in Construction[J]. Automation in Construction, 2023, 156: 105143.
[88] 钱晓松, 杨建明, 朱特. 基于虚拟现实的遥控型无人特种车辆交互设计研究[J]. 包装工程, 2022, 43(24): 1-7.
QIAN X S, YANG J M, ZHU T.Interaction Design of Remote-controlled Unmanned Special Vehicles Based on Virtual Reality[J]. Packaging Engineering, 2022, 43(24): 1-7.
[89] HONG Z, ZHANG Q, SU X, et al.Effect of Virtual Annotation on Performance of Construction Equipment Teleoperation Under Adverse Visual Conditions[J]. Automation in Construction, 2020, 118: 103296.
[90] DIMA E, BRUNNSTROM K, SJOSTROM M, et al.View Position Impact on Qoe in An Immersive Telepresence System for Remote Operation[C]//2019 Eleventh International Conference on Quality of Multimedia Experience (QOMEX), New York, 2019.
[91] PIZZAGALLI S L, BONDARENKO Y, BAYKARA B C, et al.Forestry Crane Immersive User Interface for Control and Teleoperation[C]//ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, Columbus, 2022: V02BT02A021.
[92] VILLAVERDE A F, RAIMUNDEZ C, BARREIRO A.Passive Internet-Based Crane Teleoperation with Haptic Aids[J]. International Journal of Control, Automation and Systems, 2012, 10(1): 78-87.
[93] FAN J, LI X, SU X.Building Human Visual Attention Map for Construction Equipment Teleoperation[J]. Frontiers in Neuroscience, 2022, 16: 895126.
[94] DE LOOZE M P, KUIJT-EVERS L F M, VAN DIEËN J. Sitting Comfort and Discomfort and the Relationships with Objective Measures[J]. Ergonomics, 2003, 46(10): 985-997.
[95] PATTERSON F, MIRALAMI R, TANSEY K E, et al.Deleterious Effects of Whole-Body Vibration on the Spine: A Review of in Vivo, Ex Vivo, and In Vitro Models[J]. Animal Models and Experimental Medicine, 2021, 4(2): 77-86.
[96] LI J, LI H, WANG H, et al.Evaluating the Impact of Mental Fatigue on Construction Equipment Operators’ Ability to Detect Hazards Using Wearable Eye-Tracking Technology[J]. Automation in Construction, 2019, 105: 102835.
[97] SEO M, GUPTA S, HAM Y.Exploratory Study on Time-Delayed Excavator Teleoperation in Virtual Lunar Construction Simulation: Task Performance and Operator Behavior[J]. Automation in Construction, 2024, 168: 105871.
[98] SPASOJEVIĆ BRKIĆ V, MISITA M, PERIŠIĆ M, et al. Validating Measurement Structure of Checklist for Evaluating Ergonomics Risks in Heavy Mobile Machinery Cabs[J]. Mathematics, 2022, 11(1): 23.
[99] VAHDATIKHAKI F, LANGROODI A K, OLDE SCHOLTENHUIS L, et al.Feedback Support System for Training of Excavator Operators[J]. Automation in Construction, 2022, 136: 104188.
[100] FANG H, HU Y, CHEN S, et al.Effects of Interface Design and Spatial Ability on Teleoperation Cognitive Load and Task Performance[J]. Displays, 2025, 87: 102977.
[101] CORONADO E, KIYOKAWA T, RICARDEZ G A G, et al. Evaluating Quality in Human-Robot Interaction: A Systematic Search and Classification of Performance and Human-Centered Factors, Measures and Metrics Towards an Industry 5.0[J]. Journal of Manufacturing Systems, 2022, 63: 392-410.
[102] STANTON N A, SALMON P M, WALKER G H, et al.State-of-Science: Situation Awareness in Individuals, Teams and Systems[J]. Ergonomics, 2017, 60(4): 449-466.
[103] TANIMOTO T, SHINOHARA K, YOSHINADA H.Research on Effective Teleoperation of Construction Machinery Fusing Manual and Automatic Operation[J]. Robomech Journal, 2017, 4(1): 14.
[104] STANTON N A, STEWART R, HARRIS D, et al.Distributed Situation Awareness in Dynamic Systems: Theoretical Development and Application of An Ergonomics Methodology[J]. Ergonomics, 2006, 49(12-13): 1288-1311.
[105] CHAE J, HWANG S, KANG Y.Effectiveness of Alarm Sounds in Preventing Operator Habituation to Auditory Warnings in Construction Equipment[J]. Automation in Construction, 2024, 168: 105784.
[106] ENDSLEY M R.Toward A Theory of Situation Awareness in Dynamic Systems[M]. Situational Awareness. Routledge, 2017: 9-42.
[107] XU J, FARD M, ZHANG N, et al.Cognitive Load and Task Switching in Drivers: Implications for Road Safety in Semi-Autonomous Vehicles[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2024, 107: 1175-1197.
[108] ZHANG C, JI Y, CHEN D, et al.The Influence of Interface Attributes and Interaction Elements on User Performance and Cognitive Load in Task Interruption Scenarios[J]. International Journal of Industrial Ergonomics, 2025, 108: 103761.
[109] VAN DE MERWE K, MALLAM S, NAZIR S. Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review[J]. Human Factors, 2024, 66(1): 181-208.
[110] TATASCIORE M, STRICKLAND L, LOFT S.Transparency Improves the Accuracy of Automation Use, But Automation Confidence Information Does Not[J]. Cognitive Research: Principles and Implications, 2024, 9(1): 67.
[111] NORDHOFF S, CALVERT S, HAGENZIEKER M, et al.User Acceptance of AI in Transport: The Case of SAE Level 3 Conditional Automated Driving[J]. Transportation Research Part F: Traffic Psychology and Behavior, 2026, 116: 103359.
[112] PARASURAMAN R, RILEY V.Humans and Automation: Use, Misuse, Disuse, Abuse[J]. Human Factors, 1997, 39(2): 230-253.
[113] ENDSLEY M R.Supporting Human-AI Teams: Transparency, Explainability, and Situation Awareness[J]. Computers in Human Behavior, 2023, 140: 107574.
[114] SAGHAFIAN M, VATN D M K, MOLTUBAKK S T, et al. Understanding Automation Transparency and Its Adaptive Design Implications in Safety-Critical Systems[J]. Safety Science, 2025, 184: 106730.
[115] OKAMURA K, YAMADA S.Adaptive Trust Calibration for Human-AI Collaboration[J]. Plos One, 2020, 15(2): e0229132.
[116] WORLE J, MHAROLKAR S, KIRCALI D, et al.Teleoperation in A Cold Storage Warehouse: A Qualitative Case Study on Usability and Acceptance of Remotely Controlled Forklifts[C]// Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, New York, 2025: 1-7.