Hirofumi Okazaki
Papers
1
Total Citations
6
H-Index
1
About
Hirofumi Okazaki’s research lies at the intersection of human-robot interaction and educational robotics, with a particular focus on the pedagogical dynamics that emerge when people teach machines. His most cited work, “Toward Understanding Pedagogical Relationship in Human-Robot Interaction” (2016, 6 citations), investigates how human teachers naturally behave when instructing a robot and what behaviors a robot must exhibit to learn effectively from that interaction. This foundational study explores the reciprocal relationship between teacher and robot, emphasizing that for a robot to be a successful learner, it must actively signal understanding, confusion, or engagement—much like a human student. Okazaki’s contributions are significant in defining the design principles for socially assistive and educational robots, where the quality of the teaching interaction directly impacts learning outcomes. His work has been cited in subsequent studies on robot learning from demonstration and adaptive tutoring systems, highlighting its influence on the broader field of human-robot pedagogy. By centering the human teacher’s perspective, Okazaki has helped shift the conversation from purely technical learning algorithms to the relational and communicative aspects of teaching machines.
Research Focus
Key Achievements
Top Papers
- 1Toward Understanding Pedagogical Relationship in Human-Robot Interaction6 citations · 2016