Unggi Lee
Papers
1
Total Citations
4
H-Index
1
About
Unggi Lee is a researcher at the forefront of human–AI interaction, with a focused expertise in developing socially assistive robots and large language model (LLM) applications for special education. His most cited work, "Echo-Teddy: Preliminary Design and Development of Large Language Model-Based Social Robot for Autistic Students" (2025, 4 citations), introduces a novel, LLM-powered social robot designed to support autistic students in developing communication and social skills. This pioneering contribution bridges cutting-edge natural language processing with embodied robotics, offering a scalable, empathetic tool for therapeutic and educational settings. Lee’s research demonstrates how LLMs can be integrated into physical agents to provide personalized, real-time interaction, moving beyond screen-based AI to create tangible, supportive companions. Though early in his career, his work has already garnered attention for its human-centered design and potential to transform special education practices. By combining technical innovation with deep social impact, Unggi Lee is shaping a future where AI not only understands but also actively nurtures human development.
Research Focus
Key Achievements
Top Papers
- 1