Kyosuke Yamamoto

Papers

1

Total Citations

2

H-Index

1

About

Kyosuke Yamamoto is a researcher at the intersection of robotics, human-robot interaction, and haptic communication, with a particular focus on how robots can physically engage with humans in socially acceptable ways. His work explores the nuanced relationship between a robot’s physical design—such as hand shape and motion patterns—and the social impressions it creates during tactile tasks like massage. In his most-cited study, “Effect of Motion and Hand Shape of a Massage Robot on Social Impression,” Yamamoto conducted an exploratory virtual environment experiment where participants observed a robot touching their bodies and rated their perceptions using the Robot Social Attributes Scale. Though the paper currently has 2 citations, it represents a foundational step in understanding how robotic touch can be perceived as comfortable, safe, or even empathetic—a critical challenge for the future of healthcare and personal assistant robots. Yamamoto’s contributions are particularly valuable for students and researchers interested in designing robots that must physically interact with people, as his work bridges mechanical engineering, psychology, and user experience design. His research helps lay the groundwork for robots that can perform intimate tasks like massage or physical therapy without causing discomfort or distrust.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Effect of Motion and Hand Shape of a Massage Robot on Social Impression: Exploratory study in a Virtual Environment
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago