Hung‐Hsuan Lin
Papers
2
Total Citations
11
H-Index
2
About
Hung-Hsuan Lin is a pioneering researcher at the intersection of educational technology and human-robot interaction, with a focused expertise in designing pet-like robotic companions for learning environments. His major contributions center on applying interdependence theory to create digital twins and robotic systems that foster sustainable, emotionally engaging relationships between students and educational robots. Lin’s work demonstrates that by cultivating interdependent, pet-like bonds—rather than transactional interactions—robots can significantly enhance student learning performance and prolong engagement beyond the classroom. His most cited paper, "Digital Twins of Pet Robots to Prolong Interdependent Relationships and Effects on Student Learning Performance" (2024), has already garnered 8 citations, reflecting growing interest in his novel approach. A second influential study, "A Pet-Like Model for Educational Robots" (2023), lays the theoretical groundwork for this paradigm, addressing the critical challenge of sustaining compelling human-robot interactions over time. Lin’s research is notable for its practical implications, offering a blueprint for next-generation educational robots that are not just tools but companions, capable of nurturing long-term learning motivation. His work is essential reading for scholars in robotics, education, and human-computer interaction.
Research Focus
Key Achievements
Top Papers
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