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社交机器人作为对话催化剂:增强家庭中人与人之间的长期互动。

Social robots as conversational catalysts: Enhancing long-term human-human interaction at home.

作者信息

Chen Huili, Kim Yubin, Patterson Kejia, Breazeal Cynthia, Park Hae Won

机构信息

Personal Robots Group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.

出版信息

Sci Robot. 2025 Mar 12;10(100):eadk3307. doi: 10.1126/scirobotics.adk3307.

Abstract

The integration of social robots into family environments raises critical questions about their long-term influence on family interactions. This study explores the potential of social robots as conversational catalysts in human-human dyadic interaction, focusing on enhancing high-quality, reciprocal conversations between parents and children during dialogic coreading activities. With the increasing prevalence of social robots in homes and the recognized importance of parent-child exchanges for children's developmental milestones, this work presents a comprehensive empirical investigation involving more than 70 parent-child dyads over a period of 1 to 2 months. We examined the effects of three robot interaction styles-a passive robot listener, an active robot with a fixed behavior strategy, and an active robot with a strategy-switching mechanism-on parent-child conversational dynamics. Our findings reveal that a robot's active participation enhances the quality of parent-child dialogic conversations. The influence of robot facilitation varied on the basis of parental English proficiency. Strategy-switching robots provided greater benefits to non-native English-speaking families, whereas dyads with native English-speaking parents benefited more from fixed-strategy robots. Overall, this study highlights the promise of social robots that empower parents in fostering their children's dialogic development-a contrast with the prevalent design of educational robots that primarily target children. It provides critical insights into the equitable, nuanced design of long-term family-robot interactions at home, especially in supporting diverse family backgrounds.

摘要

将社交机器人融入家庭环境引发了关于它们对家庭互动长期影响的关键问题。本研究探讨了社交机器人在人际二元互动中作为对话催化剂的潜力,重点关注在对话式共读活动中增强父母与孩子之间高质量的双向对话。随着社交机器人在家庭中的日益普及以及亲子交流对儿童发展里程碑的公认重要性,这项工作开展了一项全面的实证研究,在1至2个月的时间里涉及70多个亲子二元组。我们研究了三种机器人互动方式——被动的机器人倾听者、具有固定行为策略的主动机器人以及具有策略切换机制的主动机器人——对亲子对话动态的影响。我们的研究结果表明,机器人的积极参与提高了亲子对话式对话的质量。机器人促进作用的影响因父母的英语水平而异。策略切换机器人对非英语母语家庭带来了更大的益处,而父母为英语母语的二元组则从固定策略机器人中受益更多。总体而言,本研究突出了社交机器人在助力父母促进孩子对话发展方面的前景——这与主要针对儿童的教育机器人的普遍设计形成了对比。它为在家中进行公平、细致入微的长期家庭-机器人互动设计提供了关键见解,尤其是在支持多样化家庭背景方面。

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