Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students
Unggi Lee, Hansung Kim, Juhong Eom, Hyeonseo Jeong, Seungyeon Lee,, Gyuri Byun, Yunseo Lee, Minji Kang, Gospel Kim, Jihoi Na, Jewoong Moon,, Hyeoncheol Kim

TL;DR
This paper presents Echo-Teddy, an LLM-based social robot designed to support autistic students' social skills, highlighting its design principles, initial prototype, and potential improvements for educational use.
Contribution
It introduces a novel LLM-based social robot for autistic students, emphasizing design principles, prototype development, and insights for future enhancements.
Findings
Prototype demonstrates potential for natural interactions
Identified key design principles for effectiveness
Suggestions for improving user interface and educational value
Abstract
Autistic students often face challenges in social interaction, which can hinder their educational and personal development. This study introduces Echo-Teddy, a Large Language Model (LLM)-based social robot designed to support autistic students in developing social and communication skills. Unlike previous chatbot-based solutions, Echo-Teddy leverages advanced LLM capabilities to provide more natural and adaptive interactions. The research addresses two key questions: (1) What are the design principles and initial prototype characteristics of an effective LLM-based social robot for autistic students? (2) What improvements can be made based on developer reflection-on-action and expert interviews? The study employed a mixed-methods approach, combining prototype development with qualitative analysis of developer reflections and expert interviews. Key design principles identified include…
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Taxonomy
TopicsAI in Service Interactions · Assistive Technology in Communication and Mobility · Robotics and Automated Systems
