AlloHaptic: Robot-Mediated Haptic Collaboration for Learning Linear Functions*

Hala Khodr, Soheil Kianzad, W. Johal, Aditi Kothiyal, Barbara Bruno, P. Dillenbourg
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引用次数: 7

Abstract

Collaborative learning appears in a joint intellectual efforts of individuals to understand an object of knowledge collectively. In their search for understanding the problems, meanings, and solutions, learners employ different multi-modal strategies. In this work, we explore the role of force feedback in learners interaction with tangible hand-held robots. We designed a collaborative learning environment to provide embodied intuitions on linear mathematical functions combined with graphical representations and ran a first study involving 24 participants. Our analysis shows a positive learning gain for our learning activity. Moreover, to explore the link between different types of force feedback and learners’ collaboration, we designed a focus group study with 12 participants. Our results suggest that the haptic communication channel affects the collaboration dynamic differently according to the nature of the learning task. We finish by proposing design insights for future exploration of haptic in collaborative learning.
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AlloHaptic:机器人介导的线性函数学习的触觉协作*
协作学习表现为个体通过共同的智力努力来理解一个知识对象。在寻求理解问题、意义和解决方案的过程中,学习者采用了不同的多模态策略。在这项工作中,我们探讨了力反馈在学习者与有形手持机器人互动中的作用。我们设计了一个协作学习环境,提供线性数学函数与图形表示相结合的具体直觉,并进行了第一次涉及24名参与者的研究。我们的分析表明,我们的学习活动有积极的学习收益。此外,为了探讨不同类型的力反馈与学习者合作之间的联系,我们设计了一个有12名参与者的焦点小组研究。我们的研究结果表明,触觉沟通渠道对协作动态的影响根据学习任务的性质而不同。最后,我们提出了未来在协作学习中探索触觉的设计见解。
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