用大模型打造可随时练习社交对话的智能陪练系统
SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills
- 用大模型+知识库生成情境化对话，支持文本语音交互
- 实时分析语气、参与度并提供改写建议，提升表达效果
- 无需专业人员，在线即可使用，适合自闭症群体日常训练
自闭症谱系障碍（ASD）影响全球7500多万人。但低成本的日常对话练习效果有限，而有效的情景角色扮演疗法又依赖昂贵的线下专家服务。SocialWise通过浏览器应用，将大语言模型对话代理与基于检索增强生成（RAG）的治疗知识库结合，用户可选择点餐、加入群体等场景，通过文字或语音互动，获得关于语气、参与度和替代表达方式的即时结构化反馈。该原型基于Streamlit、LangChain和ChromaDB实现，可在任意联网电脑上运行，展示了大模型如何为自闭症患者提供基于证据、按需可用的沟通训练支持。
原文摘要 · Abstract (English)
Autism Spectrum Disorder (ASD) affects more than 75 million people worldwide. However, scalable support for practicing everyday conversation is scarce: Low-cost activities such as story reading yield limited improvement. At the same time, effective role-play therapy demands expensive, in-person sessions with specialists. SocialWise bridges this gap through a browser-based application that pairs LLM conversational agents with a therapeutic retrieval augmented generation (RAG) knowledge base. Users select a scenario (e.g., ordering food, joining a group), interact by text or voice, and receive instant, structured feedback on tone, engagement, and alternative phrasing. The SocialWise prototype, implemented with Streamlit, LangChain, and ChromaDB, runs on any computer with internet access, and demonstrates how recent advances in LLM can provide evidence-based, on-demand communication coaching for individuals with ASD.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。