Improving the retention of motor skills after reward-based reinforcement by incorporating haptic guidance and error augmentation

Improving the retention of motor skills after reward-based reinforcement by incorporating haptic guidance and error augmentation
复制标题

通过结合触觉指导和错误增强,在基于奖励的强化后提高运动技能的保留

DOI:
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发表时间:
2016
期刊:
International Conference on Biomedical Robotics and Biomechatronics
影响因子:
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通讯作者:
M. O'Malley
M. O'Malley
中科院分区:
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文献类型:
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作者:
Dylan P. Losey;Laura H. Blumenschein;M. O'Malley

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已经进行了大量的研究,旨在利用可编程机器人设备向人类用户提供触觉辅助或增强,使得可以有效地训练新的运动技能并在训练结束后长时间保持。这些方法的成功是多种多样的,并且对于在训练期间暴露于这些控制器的组来说,技能的保持通常并没有明显更好。这些研究结果指出,需要将一个更完整的理解人类运动学习的原则时,设计与受训者的触觉交互。基于奖励的强化已被研究其在提高技能保留方面的作用。触觉引导,其帮助用户完成任务,和错误增强,其夸大错误,以增强对用户的反馈,已经被证明是有益的训练,这取决于任务的难度,主体能力,和任务类型。在本文中,我们结合联合收割机的奖励为基础的强化与这些机器人控制器的演示文稿,以评估其对保留运动技能的视觉旋转任务的影响,可调的困难,使用固定或移动的目标。我们发现,与奖励为基础的反馈范例,触觉指导和错误增强导致更好地保留所需的视觉偏移在一个简单的任务,而在一个更复杂的任务,只有受试者训练与触觉指导表现出上级那些没有控制器的训练。
There has been significant research aimed at leveraging programmable robotic devices to provide haptic assistance or augmentation to a human user so that new motor skills can be trained efficiently and retained long after training has concluded. The success of these approaches has been varied, and retention of skill is typically not significantly better for groups exposed to these controllers during training. These findings point to a need to incorporate a more complete understanding of human motor learning principles when designing haptic interactions with the trainee. Reward-based reinforcement has been studied for its role in improving retention of skills. Haptic guidance, which assists a user to complete a task, and error augmentation, which exaggerates error in order to enhance feedback to the user, have been shown to be beneficial for training depending on the task difficulty, subject ability, and task type. In this paper, we combine the presentation of reward-based reinforcement with these robotic controllers to evaluate their impact on retention of motor skill in a visual rotation task with tunable difficulty using either fixed or moving targets. We found that with the reward-based feedback paradigm, both haptic guidance and error augmentation led to better retention of the desired visuomotor offset during a simple task, while during a more complex task, only subjects trained with haptic guidance demonstrated performance superior to those trained without a controller.