Changes in forklift driving performance and postures among novices resulting from training using a high-fidelity virtual reality simulator: An exploratory study

IF 2.5 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Md Shafiqul Islam, Saman Jamshid Nezhad Zahabi, Sunwook Kim, Nathan Lau, Maury A. Nussbaum, Sol Lim
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引用次数: 0

Abstract

Virtual reality (VR) has emerged as a promising tool for training. Our study focused on training for forklift driving, to address an ongoing worker shortage, and the unknown impact of repeated VR training on task performance and kinematic adaptations. We trained 20 novice participants using a VR forklift simulator over two days, with two trials on each day, and including three different driving lessons of varying difficulties. Driving performance was assessed using task completion time, and we quantified kinematics of the head, shoulder, and lumbar spine. Repeated training reduced task completion time (up to ∼29.8% of initial trial) and decreased both kinematic variability and peak range of motion, though these effects were larger for lessons requiring higher precision than simple driving maneuvers. Our results highlight the potential of VR as an effective training environment for novice drivers and suggest that monitoring kinematics could help track skill acquisition during such training.

使用高保真虚拟现实模拟器进行培训后新手叉车驾驶性能和姿势的变化:探索性研究
虚拟现实(VR)已成为一种前景广阔的培训工具。我们的研究侧重于叉车驾驶培训,以解决当前工人短缺的问题,以及反复 VR 培训对任务表现和运动适应性的未知影响。我们使用 VR 叉车模拟器对 20 名新手进行了为期两天的培训,每天进行两次试验,包括三节不同难度的驾驶课程。我们使用任务完成时间来评估驾驶表现,并对头部、肩部和腰椎的运动学进行量化。重复训练缩短了任务完成时间(达初始试验的 29.8%),并降低了运动学变异性和峰值运动范围,但这些影响在要求比简单驾驶动作更高精度的课程中更大。我们的研究结果凸显了 VR 作为新手驾驶员有效训练环境的潜力,并表明对运动学的监测有助于跟踪此类训练中的技能掌握情况。
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来源期刊
International Journal of Industrial Ergonomics
International Journal of Industrial Ergonomics 工程技术-工程:工业
CiteScore
6.40
自引率
12.90%
发文量
110
审稿时长
56 days
期刊介绍: The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
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