Yamato Maekawa
Papers
1
Total Citations
7
H-Index
1
About
Yamato Maekawa’s research lies at the intersection of human-robot interaction, assistive technology, and cognitive ergonomics, with a focus on understanding how operators interact with robotic systems in real-world environments. His most cited work, “An Analysis of How Driver Experience Affects Eye-Gaze Behavior for Robotic Wheelchair Operation” (2019, 7 citations), investigates how drivers’ visual attention evolves as they gain experience navigating robotic wheelchairs through complex, risk-laden settings. Maekawa’s key contribution is revealing that experienced drivers develop more efficient eye-gaze patterns—anticipating hazards and scanning strategically—compared to novices, who tend to fixate narrowly. This insight has direct implications for designing adaptive training protocols and intelligent assistance systems that can support novice users in mastering safe robotic wheelchair operation. By linking gaze behavior to skill acquisition, Maekawa’s work advances the development of more intuitive, user-centered interfaces for assistive mobility devices. His findings are particularly valuable for researchers and engineers working on human-in-the-loop control systems, offering a data-driven foundation for improving both safety and autonomy in robotic wheelchairs.
Research Focus
Key Achievements
Top Papers
- 1