虚拟机器人手术培训环境中的触觉引导和触觉误差放大。

IF 2.4 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Yousi A. Oquendo;Margaret M. Coad;Sherry M. Wren;Thomas S. Lendvay;Ilana Nisky;Anthony M. Jarc;Allison M. Okamura;Zonghe Chua
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引用次数: 0

摘要

远程操作机器人系统为微创手术带来了更直观的控制,但最佳的训练方法仍是未知数。最近的运动学习研究表明,夸大错误有助于受训者更快、更准确地完成任务。我们假设,在力场中进行训练,将用户推离所需路径,将提高他们在虚拟现实环形钢丝任务中的表现。38 名外科新手在无力场、引导力场或误差放大力场下进行了为期五天的训练。最后一天,对无力场下的完成时间、平移和旋转路径误差以及综合误差时间进行了评估。各组在综合误差时间上有明显差异,引导组表现最差。在训练过程中,误差增强力场参与者的表现并没有趋于稳定,这表明学习仍在继续。指导组学员在最后一天的表现最差,这证实了指导假设。观察到的趋势还表明,初始路径误差大的学员从指导中获益更多。针对机器人辅助远程手术的误差放大和误差缩小触觉训练对不同能力的学员有不同的益处,我们的结果表明,初始综合误差时间高的学员从引导和误差放大力场训练中获益更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Haptic Guidance and Haptic Error Amplification in a Virtual Surgical Robotic Training Environment
Teleoperated robotic systems have introduced more intuitive control for minimally invasive surgery, but the optimal method for training remains unknown. Recent motor learning studies have demonstrated that exaggeration of errors helps trainees learn to perform tasks with greater speed and accuracy. We hypothesized that training in a force field that pushes the user away from a desired path would improve their performance on a virtual reality ring-on-wire task. Thirty-eight surgical novices trained under a no-force, guidance, or error-amplifying force field over five days. Completion time, translational and rotational path error, and combined error-time were evaluated under no force field on the final day. The groups significantly differed in combined error-time, with the guidance group performing the worst. Error-amplifying field participants did not plateau in their performance during training, suggesting that learning was still ongoing. Guidance field participants had the worst performance on the final day, confirming the guidance hypothesis. Observed trends also suggested that participants who had high initial path error benefited more from guidance. Error-amplifying and error-reducing haptic training for robot-assisted telesurgery benefits trainees of different abilities differently, with our results indicating that participants with high initial combined error-time benefited more from guidance and error-amplifying force field training.
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来源期刊
IEEE Transactions on Haptics
IEEE Transactions on Haptics COMPUTER SCIENCE, CYBERNETICS-
CiteScore
5.90
自引率
13.80%
发文量
109
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.
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