机器人的监视会阻碍学习表现

Jonathan S. Herberg, S. Feller, Ilker Yengin, Martin Saerbeck
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引用次数: 23

摘要

教育技术应用,如计算机化学习环境和机器人导师,通常被编程为提供社会线索,以促进自然互动和提高生产成果。然而,社交互动可能会有与这些目标背道而驰的潜在成本。在这里,我们提出了一项实验,测试观察与非观察机器人家教对儿童语言学习努力和表现的影响。在两个互动环节中,孩子们从机器人导师那里学习了法语和拉丁语规则,并填写了应用这些规则来翻译短语的工作表。结果表明,在孩子填写工作表时,机器人看向别处的那一组比看向孩子的那一组表现更好。对于较难的工作表项,情况尤其如此。这些发现强调了谨慎实施社交机器人行为的必要性,以避免适得其反的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot watchfulness hinders learning performance
Educational technological applications, such as computerized learning environments and robot tutors, are often programmed to provide social cues for the purposes of facilitating natural interaction and enhancing productive outcomes. However, there can be potential costs to social interactions that could run counter to such goals. Here, we present an experiment testing the impact of a watchful versus non-watchful robot tutor on children's language-learning effort and performance. Across two interaction sessions, children learned French and Latin rules from a robot tutor and filled in worksheets applying the rules to translate phrases. Results indicate better performance on the worksheets in the session in which the robot looked away from, as compared to the session it looked toward the child, as the child was filling in the worksheets. This was the case in particular for the more difficult worksheet items. These findings highlight the need for careful implementation of social robot behaviors to avoid counterproductive effects.
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