Yoshihisa Udagawa
Papers
1
Total Citations
5
H-Index
1
About
Yoshihisa Udagawa investigates the intersection of human-robot interaction, affective computing, and educational technology, with a particular focus on how robots can enhance learning environments. His most-cited work, "Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability" (2019, 5 citations), explores a novel dimension of robot-assisted education: whether the color of a robot lecturer’s eyes can influence students’ academic emotions. This research expands beyond conventional studies that treat robots merely as tools for assistance or replacement, instead probing the subtle, emotionally impactful design features that can make robot instructors more effective and engaging. Udagawa’s contributions lie in demonstrating the manipulability of robot appearance to adapt to individual learner needs, paving the way for more personalized and emotionally responsive educational robots. While his citation count is modest, his work represents a creative and human-centered approach to educational technology, offering valuable insights for researchers in human-robot interaction and adaptive learning systems.
Research Focus
Key Achievements
Top Papers
- 1