Koji Ota
Papers
2
Total Citations
6
H-Index
2
About
Koji Ota’s research lies at the intersection of human-robot interaction, KANSEI engineering, and motion algorithm design. His pioneering work focuses on understanding how humans perceive and emotionally respond to robot movements, with the goal of creating robots that feel more natural and less fatiguing to interact with. In his most cited paper (2002, 4 citations), Ota quantitatively analyzed human weariness and impressions during simulated interactions, using a simple red-and-blue ball interface to study how movement patterns affect user experience. He extended this work in 2004 (2 citations) by exploring KANSEI—the Japanese concept of sensory and emotional perception—from multiple angles, aiming to generate motion algorithms that reduce human fatigue. Though his citation counts are modest, Ota’s contributions are notable for their early, interdisciplinary approach to affective robotics, blending psychology, human factors, and control theory. His work laid groundwork for designing socially aware robots that adapt to human emotional states, a topic now central to modern human-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1Robot Motion Algorithm Based on Interaction with Human4 citations · 2002
- 2