Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?
Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?
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根据学习者表现调整形状的物理工具有助于运动技能训练吗？
DOI：
10.1145/3430524.3440636
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Mueller, Stefanie
中科院分区：
文献类型：
--
作者：
Turakhia, Dishita G;Qi, Yini;Blumberg, Lotta-Gili;Wong, Andrew;Mueller, Stefanie
可以改变其形状以支持用户进行运动任务的自适应工具已经用于各种应用中，例如改善人体工程学和支持肌肉记忆。在本文中，我们调查形状适应工具是否也可以帮助运动技能训练。与静态训练工具在训练过程中将任务难度保持在固定水平相反，形状适应工具可以改变任务难度，从而使学习者的训练保持在最佳挑战点，即任务既不太容易，也不太难。为了研究形状适应是否有助于运动技能训练，我们建立了一个自适应篮球架形式的研究原型，它在三种情况下工作：（1）静态，（2）手动自适应，以及（3）自适应。对于自适应条件，该工具自适应地在任务既不太容易也不太困难的最佳挑战点训练学习者。我们的两项用户研究结果表明，与静态（F1，11 = 1.856，p < 0.05）和手动自适应条件（F1，11 = 2.386，p < 0.05）相比，自适应条件下的训练导致统计学上显著的学习增益。
Adaptive tools that can change their shape to support users with motor tasks have been used in a variety of applications, such as to improve ergonomics and support muscle memory. In this paper, we investigate whether shape-adapting tools can also help in motor skill training. In contrast to static training tools that maintain task difficulty at a fixed level during training, shape-adapting tools can vary task difficulty and thus keep learners’ training at the optimal challenge point, where the task is neither too easy, nor too difficult.To investigate whether shape adaptation helps in motor skill training, we built a study prototype in the form of an adaptive basketball stand that works in three conditions: (1) static, (2) manually adaptive, and (3) auto-adaptive. For the auto-adaptive condition, the tool adapts to train learners at the optimal challenge point where the task is neither too easy nor too difficult. Results from our two user studies show that training in the auto-adaptive condition leads to statistically significant learning gains when compared to the static (F1, 11 = 1.856, p < 0.05) and manually adaptive conditions (F1, 11 = 2.386, p < 0.05).
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