Yume Matsushita
Papers
1
Total Citations
5
H-Index
1
About
Yume Matsushita is a researcher in human-robot interaction, focusing on how the motion and trajectory parameters of robots shape human perceptions and emotional responses. Her work is pivotal in designing more intuitive and socially acceptable behaviors for home-service robots, a field where subtle movements can dramatically influence user trust and comfort. In her most-cited paper, "Analysis of impressions of robot by changing its motion and trajectory parameters for designing parameterized behaviors of home-service robots" (2022), Matsushita systematically explores how varying speed, path curvature, and acceleration alters impressions of a robot’s competence, friendliness, and safety. This research provides a foundational framework for engineers to create parameterized, adaptive behaviors that make domestic robots feel less mechanical and more companionable. Though early in her career, her contributions are already cited by peers working on affective robotics and human-centered automation, signaling her impact on the future of socially aware machines. Matsushita’s work bridges engineering and psychology, offering practical guidelines for robots that move not just efficiently, but empathetically.
Research Focus
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Top Papers
- 1