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Conversation AI for Verbal Children with ASD to Facilitate Social Interaction

  • Anupriya,
  • Archana Singh,
  • Jitendra Singh Jadon,
  • Soumya Ranjan Nayak,
  • Raghvendra Kumar

摘要

Autism Spectrum Disorder (ASD) is an affliction of the brain that can affect interactions and social communication. Children who speak and have ASD frequently have issues with social interaction, specifically in conversation skills. The advancement of chat-based Artificial Intelligence (AI) tools has shown promise in helping those who have ASD in social interaction. This study aims to design and develop a Conversation AI system that can facilitate social interaction for verbal children with ASD by generating appropriate responses to the user's input and providing real-time feedback to help the user improve their conversational skills. The Conversation AI system uses natural language processing, machine learning, and feedback generation techniques to interact with verbal children with ASD through a user-friendly interface. User testing is conducted with verbal children with ASD to evaluate the system's usability, acceptability, and effectiveness in improving conversational skills. The results show promising outcomes in improving conversational skills, and participants rated the system's usability and acceptability positively. The study concludes that developing a Conversation AI system for verbal children with ASD is a promising solution for improving conversational skills and social interaction.