Cognitive skills learning: pen input patterns in computer-based athlete training

Natalie Ruiz, Qian Qian Feng, R. Taib, Tara Handke, Fang Chen
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引用次数: 11

Abstract

In this paper, we describe a longitudinal user study with athletes using a cognitive training tool, equipped with an interactive pen interface, and think-aloud protocols. The aim is to verify whether cognitive load can be inferred directly from changes in geometric and temporal features of the pen trajectories. We compare trajectories across cognitive load levels and overall Pre and Post training tests. The results show trajectory durations and lengths decrease while speeds increase, all significantly, as cognitive load increases. These changes are attributed to mechanisms for dealing with high cognitive load in working memory, with minimal rehearsal. With more expertise, trajectory durations further decrease and speeds further increase, which is attributed in part to cognitive skill acquisition and to schema development, both in extraneous and intrinsic networks, between Pre and Post tests. As such, these pen trajectory features offer insight into implicit communicative changes related to load fluctuations.
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认知技能学习:基于计算机的运动员训练中的笔输入模式
在本文中,我们描述了一项纵向用户研究,运动员使用认知训练工具,配备了一个交互式笔界面,并思考出声协议。目的是验证是否可以从笔轨迹的几何和时间特征的变化直接推断认知负荷。我们比较了认知负荷水平和整体训练前和训练后测试的轨迹。结果显示,随着认知负荷的增加,运动轨迹的持续时间和长度会减少,而速度会增加。这些变化归因于处理工作记忆中高认知负荷的机制,而排练最少。随着专业知识的增加,轨迹持续时间进一步减少,速度进一步增加,这在一定程度上归因于认知技能的获得和图式的发展,在外部和内在网络中,在测试前后。因此,这些笔轨迹特征提供了与负载波动相关的隐式通信变化的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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