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Assisting versus repelling force-feedback for human learning of a line following task

机译:协助与人类学习一行以下任务的人类学习的反馈

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Previous work has shown that training with ‘assist-as-needed’ method using force-feedback joystick can improve driving performance of children and adults. This work is the first study to evaluate training with a repelling force versus an assisting force for learning of a line following task. We designed a robotic training wheelchair that can accurately localize itself in the training environment, and implemented assisting and repelling force fields on the force-feedback joystick. The training protocol included three groups. The control (CT) group received no force feedback. The assisting force (AF) group was trained using the ‘assist-as-needed’ paradigm. The repelling force (RF) group was trained with the repelling force field. We observed that both the AF and RF group improved their driving skills, however, the RF group had the greatest trajectory error reduction. We believe that this pilot study could provide a promising foundation regarding robotic wheelchair algorithm effects on adult learning.
机译:以前的工作表明,使用武力反馈操纵杆的“辅助 - 不需要”方法培训可以改善儿童和成人的推动性能。这项工作是第一次评估用排斥力培训的研究与辅助力量进行学习后任务。我们设计了一种机器人训练轮椅,可以在训练环境中准确定位自己,并在力量反馈操纵杆上实施了辅助和排斥力领域。培训协定包括三组。控制(CT)组没有任何力量反馈。辅助力量(AF)组使用“辅助 - 不需要的”范式培训。排斥力(RF)组用排斥力场培训。我们观察到,AF和RF组都改善了他们的驾驶技能,然而,RF组具有最大的轨迹误差减少。我们认为,这项试点研究可以为机器人轮椅算法对成人学习的影响提供有希望的基础。

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