Juhyun Eune

Papers

Total Citations

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About

Juhyun Eune’s research lies at the intersection of human-robot interaction, child development, and artificial intelligence, with a focus on creating emotionally resonant, physically growing robot toys for early childhood. Her most recognized contribution is the **MOYA** system (2018), an interactive AI toy that responds to children’s curiosity by identifying objects through hand motion tracking, image classification, and robot motion control. Built on Raspberry Pi and Ubuntu Mate, MOYA represents a pioneering step toward tangible, responsive learning companions. Eune’s work explores how self-growing robot characters can foster long-term emotional bonds with children, enabling solitary play that mirrors real relationships. Her studies on communication with self-growing characters (2020) emphasize sympathy and emotional expression as core design principles. Though her citation counts are modest—with MOYA receiving 5 citations—her ideas are foundational in the niche field of developmental robot agents. Eune’s research challenges conventional assumptions about static toys, proposing instead that robots can grow alongside their users, both physically and emotionally. Her work is particularly valuable for researchers in child-robot interaction, affective computing, and educational technology, offering a blueprint for designing AI companions that nurture curiosity and attachment.