用实体化AI助手让知识获取更温暖，像真人陪伴一样对话。
Suzume-chan: Your Personal Navigator as an Embodied Information Hub
- 设计可对话的实体智能体，通过语音交互建立亲密感
- 本地运行结合RAG，实现隐私保护下的自然问答
- 适合需要人性化知识服务的教育、助老等场景
获取专家知识通常依赖实时人际沟通。数字工具虽提升信息可及性，却难以营造深度理解所需的连接感。本研究基于社会存在理论，提出‘具身信息枢纽’的新范式，通过物理形态与对话互动共享知识。原型Suzume-chan是一个小型软体本地AI代理，搭载语言模型与检索增强生成（RAG）技术，能从口语讲解中学习并以对话响应，降低心理距离，使知识传递更具温度与人文关怀。
原文摘要 · Abstract (English)
Access to expert knowledge often requires real-time human communication. Digital tools improve access to information but rarely create the sense of connection needed for deep understanding. This study addresses this issue using Social Presence Theory, which explains how a feeling of "being together" enhances communication. An "Embodied Information Hub" is proposed as a new way to share knowledge through physical and conversational interaction. The prototype, Suzume-chan, is a small, soft AI agent running locally with a language model and retrieval-augmented generation (RAG). It learns from spoken explanations and responds through dialogue, reducing psychological distance and making knowledge sharing warmer and more human-centered.
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