用AI驱动的社交机器人，帮孩子在家互动学语言。
ELLA: Generative AI-Powered Social Robots for Early Language Development at Home
- 基于生成式AI设计自适应对话系统，支持故事互动与家长设定语言目标。
- 在10个家庭中部署8天，观察到孩子持续参与且互动行为随时间改善。
- 适合关注儿童早期语言发展、希望获得家庭支持的家长和教育者。
早期语言发展影响儿童后续读写能力和学习表现，但许多家庭难以获得可扩展、高质量的家庭支持。近年来生成式AI的发展使社交机器人能够突破预设脚本，实现自适应对话，然而如何为学龄前儿童设计此类系统，以及儿童在家中长期使用时的表现仍不明确。本文提出ELLA（早期语言学习代理），一个自主运行、由生成式AI驱动的社交机器人，通过互动讲故事、家长选定的语言目标及分步引导对话，支持早期语言发展。研究采用多阶段人本设计流程，访谈7位家长和5位教育者，并通过12次家庭工作坊迭代优化。随后在10名儿童中部署了8天。报告了家庭工作坊的设计洞见，刻画了部署期间儿童的参与度与行为特征，并提炼出面向生成式AI驱动社交机器人的家庭语言学习系统设计启示。
原文摘要 · Abstract (English)
Early language development shapes children's later literacy and learning, yet many families have limited access to scalable, high-quality support at home. Recent advances in generative AI make it possible for social robots to move beyond scripted interactions and engage children in adaptive, conversational activities, but it remains unclear how to design such systems for pre-schoolers and how children engage with them over time in the home. We present ELLA (Early Language Learning Agent), an autonomous, generative AI-powered social robot that supports early language development through interactive storytelling, parent-selected language targets, and scaffolded dialogue. Using a multi-phased, human-centered process, we interviewed parents (n=7) and educators (n=5) and iteratively refined ELLA through twelve in-home design workshops. We then deployed ELLA with ten children for eight days. We report design insights from in-home workshops, characterize children's engagement and behaviors during deployment, and distill design implications for generative AI-powered social robots supporting early language learning at home.
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