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The Robot Who Tried Too Hard: Social Behaviour of a Robot Tutor Can Negatively Affect Child Learning

机译:尝试过于努力的机器人:机器人导师的社会行为可能会对儿童学习产生负面影响

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Social robots are finding increasing application in the domain of education, particularly for children, to support and augment learning opportunities. With an implicit assumption that social and adaptive behaviour is desirable, it is therefore of interest to determine precisely how these aspects of behaviour may be exploited in robots to support children in their learning. In this paper, we explore this issue by evaluating the effect of a social robot tutoring strategy with children learning about prime numbers. It is shown that the tutoring strategy itself leads to improvement, but that the presence of a robot employing this strategy amplifies this effect, resulting in significant learning. However, it was also found that children interacting with a robot using social and adaptive behaviours in addition to the teaching strategy did not learn a significant amount. These results indicate that while the presence of a physical robot leads to improved learning, caution is required when applying social behaviour to a robot in a tutoring context.
机译:社会机器人在教育领域寻找越来越多的应用,特别是儿童,支持和增强学习机会。由于所需的社会和自适应行为,因此有兴趣地确定了如何在机器人中利用这些行为的这些方面来支持儿童的学习。在本文中,我们通过评估社会机器人辅导战略与儿童了解素数的效果来探讨这个问题。结果表明,辅导策略本身就会导致改进,但是采用这种策略的机器人的存在放大了这种效果,导致了重要的学习。但是,还发现,除了教学策略之外,儿童与机器人互动,除了教学策略之外,还没有学习大量数量。这些结果表明,虽然存在物理机器人的存在导致改进的学习,但在辅导语境中将社会行为应用于机器人时,需要注意。

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