Dong Wan Kim

Papers

Total Citations

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About

Dong Wan Kim is a researcher at the intersection of human-robot interaction, artificial intelligence, and educational technology, with a particular focus on creating intuitive, child-friendly AI systems. His most notable contribution is the development of **MOYA**, an interactive AI toy designed to satisfy children’s natural curiosity by identifying objects in real time. MOYA integrates hand motion tracking, image classification, robot motion control, and a graphical user interface—all running on a Raspberry Pi with Ubuntu Mate. This work, published in 2018, has garnered **5 citations** and represents a pioneering step toward accessible, low-cost educational robotics. By combining computer vision with tangible interaction, Kim’s research addresses a critical gap in early childhood learning tools, offering a playful yet powerful way for children to explore their environment. His approach emphasizes practical, deployable systems that bridge the gap between advanced AI and everyday learning experiences. Kim’s work stands out for its focus on usability and real-world application, making him a notable contributor to the growing field of interactive AI for education.