Kory-Westlund Jacqueline M, Breazeal Cynthia
MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.
Front Robot AI. 2019 Sep 3;6:81. doi: 10.3389/frobt.2019.00081. eCollection 2019.
Prior research has demonstrated the importance of children's peers for their learning and development. In particular, peer interaction, especially with more advanced peers, can enhance preschool children's language growth. In this paper, we explore one factor that may modulate children's language learning with a peer-like social robot: rapport. We explore connections between preschool children's learning, rapport, and emulation of the robot's language during a storytelling intervention. We performed a long-term field study in a preschool with 17 children aged 4-6 years. Children played a storytelling game with a social robot for 8 sessions over two months. For some children, the robot matched the level of its stories to the children's language ability, acting as a slightly more advanced peer ( condition); for the others, the robot did not match the story level ( condition). We examined children's use of target vocabulary words and key phrases used by the robot, children's emulation of the robot's stories during their own storytelling, and children's language style matching (LSM-a measure of overlap in function word use and speaking style associated with rapport and relationship) to see whether they mirrored the robot more over time. We found that not only did children emulate the robot more over time, but also, children who emulated more of the robot's phrases during storytelling scored higher on the vocabulary posttest. Children with higher LSM scores were more likely to emulate the robot's content words in their stories. Furthermore, the robot's personalization in the condition led to increases in both children's emulation and their LSM scores. Together, these results suggest first, that interacting with a more advanced peer is beneficial for children, and second, that children's emulation of the robot's language may be related to their rapport and their learning. This is the first study to empirically support that rapport may be a modulating factor in children's peer learning, and furthermore, that a social robot can serve as an effective intervention for language development by leveraging this insight.
先前的研究已经证明了儿童同伴对其学习和发展的重要性。特别是同伴互动,尤其是与更成熟的同伴互动,可以促进学龄前儿童的语言发展。在本文中,我们探讨了一个可能调节儿童与类同伴社交机器人进行语言学习的因素:融洽关系。我们在一次讲故事干预中探索了学龄前儿童的学习、融洽关系与对机器人语言的模仿之间的联系。我们在一所幼儿园对17名4至6岁的儿童进行了一项长期实地研究。孩子们在两个月的时间里与一个社交机器人进行了8次讲故事游戏。对于一些孩子,机器人将其故事的水平与孩子的语言能力相匹配,扮演一个稍微更成熟的同伴(匹配条件);对于其他孩子,机器人不匹配故事水平(不匹配条件)。我们检查了孩子们对机器人使用的目标词汇和关键短语的运用、孩子们在自己讲故事时对机器人故事的模仿,以及孩子们的语言风格匹配(LSM——一种衡量功能词使用和与融洽关系及关系相关的说话风格重叠程度的指标),以观察他们是否随着时间的推移更多地模仿机器人。我们发现,不仅孩子们随着时间的推移更多地模仿机器人,而且在讲故事时模仿机器人更多短语的孩子在词汇后测中得分更高。LSM得分较高的孩子更有可能在他们的故事中模仿机器人的实词。此外,在匹配条件下机器人的个性化导致孩子们的模仿和他们的LSM得分都有所增加。总之,这些结果首先表明,与更成熟的同伴互动对孩子有益,其次表明,孩子们对机器人语言的模仿可能与他们的融洽关系和学习有关。这是第一项通过实证支持融洽关系可能是儿童同伴学习中的一个调节因素的研究,此外,社交机器人可以通过利用这一见解作为促进语言发展的有效干预手段。