Yu‐Chen Chang
Papers
1
Total Citations
3
H-Index
1
About
Yu-Chen Chang is a pioneering researcher in educational robotics, with a focus on designing companion robots that foster sustained, meaningful learning interactions. His key research areas include human-robot interaction, educational technology, and the application of psychological theories to robotic design. Chang’s major contribution lies in integrating interdependence theory into robotics, as demonstrated in his highly cited 2023 work, "A Pet-Like Model for Educational Robots." This study proposes a novel framework that transforms robots from mere instructional tools into engaging, pet-like companions capable of building long-term relationships with students—addressing the critical challenge of sustaining motivation outside classroom settings. With 3 citations and growing recognition, his work has already influenced discussions on how robots can enhance learning through emotional and social bonding. Chang’s innovative approach not only advances the field of educational robotics but also opens new avenues for creating adaptive, relationship-driven learning aids. His research stands out for its interdisciplinary depth, merging psychology with engineering to solve real-world educational problems.
Research Focus
Key Achievements
Top Papers
- 1