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首页> 外文学位 >Comparing Haptic Guidance to Error Amplification in Robot-Assisted Training of a Golf-Putting Task Performed by Initially Skilled Trainees.
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Comparing Haptic Guidance to Error Amplification in Robot-Assisted Training of a Golf-Putting Task Performed by Initially Skilled Trainees.

机译：比较由初学技术人员进行的高尔夫练习中机器人辅助训练中误差放大的触觉指导。

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摘要

In developing motor training techniques using haptic feedback, it has been observed in several studies that error-amplification, as opposed to haptic guidance, can be more beneficial for trainees when they have a relatively high initial level of skill at performing the motor task. The reasoning for this effect is that highly skilled subjects who have learned the feel of a task benefit from an exaggeration of their errors that provokes further learning, whereas less skilled subjects benefit from demonstrating the basic feel of the task. The goal of this study was to test the hypothesis that error-augmentation haptic training, as opposed to haptic guidance, provides a greater degree of long term motor learning for trainees who are initially highly skilled. Putting accuracy for a virtual golf video game was compared for unimpaired subjects who trained with either haptic guidance, error-augmentation, or no haptic intervention amongst subjects who showed a relatively high proficiency at the game before training. While both training environments produced significant improvements in performance, there were no significant differences in learning between groups (ANOVA p-value = 0.821). Thus, the hypothesis was not proven to be true. This effect might be explained by considering that the subjects had effectively mastered the task, and thus there was a learning ceiling.
机译：在开发使用触觉反馈的运动训练技术时，在一些研究中已经观察到，与触觉指导相反的是，误差扩大对受训者而言，当他们在执行运动任务时具有相对较高的初始技能时，会更加有益。产生这种效果的原因是，已经学会了任务感觉的高技能受试者会从错误的夸张中受益，这些错误会引发进一步的学习，而技术水平较低的受试者会通过演示任务的基本感觉而受益。这项研究的目的是检验以下假设，即错误增强触觉训练与触觉指导相反，可以为最初是高技能的受训者提供更大程度的长期运动学习。对于在训练前表现出较高熟练度的受试者中，通过触觉指导，错误增强或没有触觉干预进行训练的未受损受试者，对虚拟高尔夫视频游戏的推杆准确性进行了比较。尽管两种培训环境均显着改善了绩效，但两组之间的学习没有显着差异（ANOVA p值= 0.821）。因此，该假设没有被证明是正确的。可以通过考虑受试者有效地完成任务来解释这种效果，因此存在学习上限。

著录项

  • 作者

    Amarillas, Adan.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Engineering Mechanical.;Engineering Robotics.
  • 学位 M.S.
  • 年度 2013
  • 页码 106 p.
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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