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SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills

arXiv 2604.15347 ↗First posted 28 Mar 2026cs.HC cs.AI cs.IRcited by 0

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Abstract (arXiv)

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.

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  1. 2026Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations
  2. 2026NeuroWise: A Multi-Agent LLM "Glass-Box" System for Practicing Double-Empathy Communication with Autistic Partners
  3. 2026A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism
  4. 2026From Synthesis to Clinical Assistance: A Strategy-Aware Agent Framework for Autism Intervention based on Real Clinical Dataset
  5. 2025Controlled Yet Natural: A Hybrid BDI-LLM Conversational Agent for Child Helpline Training
  6. 2024SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions
  7. 2025SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning
  8. 2024Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness