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Robot's adaptive emotional feedback sustains children's social engagement and promotes their vocabulary learning: a long-term child-robot interaction study

机译:机器人的自适应情绪反馈可维持儿童的社交参与并促进其词汇学习:一项长期的儿童与机器人互动研究

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摘要

In this article, we present an emotion and memory model for a social robot. The model allowed the robot to create a memory account of a child's emotional events over four individual sessions. The robot then adapted its behaviour based on the developed memory. The model was applied on the NAO robot to teach vocabulary to children while playing the popular game 'Snakes and Ladders'. We conducted an exploratory evaluation of our model with 24 children at a primary school for 2 weeks to verify its impact on children's long-term social engagement and overall vocabulary learning. Our preliminary results showed that the behaviour generated based on our model was able to sustain social engagement. In addition, it also helped children to improve their vocabulary. We also evaluated the impact of the positive, negative and neutral emotional feedback of the NAO robot on children's vocabulary learning. Three groups of children (eight per group) interacted with the robot on four separate occasions over a period of 2 weeks. Our results showed that the condition where the robot displayed positive emotional feedback had a significantly positive effect on the child's vocabulary learning performance as compared to the two other conditions: negative feedback and neutral feedback.
机译:在本文中,我们介绍了社交机器人的情绪和记忆模型。该模型允许机器人为四个单独的会话创建儿童情感事件的记忆帐户。然后,机器人根据开发的内存调整其行为。该模型被应用到NAO机器人上,以在玩流行的游戏“蛇和梯子”时向儿童教授词汇。我们对24名儿童在小学进行了为期2周的探索性评估,以验证其对儿童长期社会参与和整体词汇学习的影响。我们的初步结果表明,基于我们的模型产生的行为能够维持社会参与。此外,它还帮助儿童提高词汇量。我们还评估了NAO机器人的积极,消极和中性的情感反馈对儿童词汇学习的影响。在2周内,三组儿童(每组8个)在四个不同的场合与机器人互动。我们的结果表明,与其他两个条件(负反馈和中性反馈)相比,机器人显示出积极的情绪反馈的条件对孩子的词汇学习表现具有显着的积极影响。

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