Motomu Naito
Papers
1
Total Citations
3
H-Index
1
About
Motomu Naito is a researcher whose work sits at the intersection of human-robot interaction and educational technology. His primary focus is on designing natural, engaging dialogues between humanoid robots and human instructors, particularly for classroom settings. Naito’s most cited paper, “Shaping dialogues with a humanoid robot based on an E-learning system” (2016), explores how dialogue patterns—drawn from sources as diverse as comedy routines, movie plots, and science experiments—can be adapted to create compelling instructor-robot exchanges that enhance student learning. This work, with 3 citations, represents a novel approach to making robot-mediated education more dynamic and less mechanical. By grounding his dialogue design in real-world narrative structures, Naito contributes to the broader goal of making educational robots more socially intuitive and pedagogically effective. His research offers a creative bridge between entertainment and instruction, suggesting that the rhythms of comedy and storytelling can be powerful tools for shaping how students engage with robotic tutors.
Research Focus
Key Achievements
Top Papers
- 1Shaping dialogues with a humanoid robot based on an E-learning system3 citations · 2016