Emotion education is critical for children aged 3 to 6. However, existing technologies largely focus on children's direct interaction with AI, overlooking the central role of parents in guiding early emotional development at home. To address this gap, we conducted co-design sessions with five kindergarten teachers and five parents to identify key parental challenges and opportunities for AI support in family emotion education. Based on these insights, we developed PACEE, an LLM-based assistant designed to support parents in guiding children's emotional development through conversations, rather than directly interacting with children. PACEE provides parent-centered AI scaffolding that supports parents in real-time conversation through personalized guidance, post-hoc reflection through trackable feedback, and understanding children's emotional states through modeling. We evaluated PACEE with 16 families. Results show that PACEE enhances parent-child engagement, fosters deeper emotional communication, and improves parents' expertise and overall experience in guiding their children. Our findings extend emotion coaching practices to the context of generative AI and offer design insights for building AI systems that support parent-centered family education.

翻译：情感教育对3至6岁儿童至关重要。然而，现有技术主要关注儿童与人工智能的直接互动，忽视了家长在家庭环境中引导幼儿情感发展的核心作用。为弥补这一空白，我们与五名幼儿园教师和五名家长开展了协同设计会议，以识别家长在家庭情感教育中的关键挑战及人工智能支持机会。基于这些洞察，我们开发了PACEE——一款基于大语言模型的助手，旨在通过对话支持家长引导儿童的情感发展，而非直接与儿童互动。PACEE提供以家长为中心的人工智能支架：在实时对话中通过个性化指导支持家长，在事后反思中通过可追踪反馈提供帮助，并通过模型理解儿童情感状态。我们与16个家庭共同评估了PACEE。结果表明，PACEE增强了亲子互动，促进了更深层次的情感交流，并提升了家长在引导儿童方面的专业性和整体体验。我们的研究将情感辅导实践延伸至生成式人工智能领域，并为构建支持以家长为中心的家庭教育的人工智能系统提供了设计启示。