Shinichi Koyama

University of Tsukuba

Papers

1

Total Citations

3

H-Index

1

About

Dr. Shinichi Koyama investigates the cognitive and social boundaries between humans and robots, with a particular focus on how anthropomorphic design influences perception. His work challenges and refines the Uncanny Valley hypothesis, exploring how people subjectively categorize faces along a human-robot continuum. In his influential 2023 study, "Robot occupations affect the categorization border between human and robot faces," Koyama demonstrated that the perceived boundary between human and robot is not fixed but shifts depending on contextual cues like a robot's assigned occupation. This research, already garnering citations for its novel approach, reveals that social roles can alter how human-like a robot appears, blurring the line between machine and person. Koyama’s contributions are vital for human-robot interaction design, offering insights into how to create robots that are perceived as appropriately human-like without triggering discomfort. His work bridges cognitive science and robotics, providing a nuanced understanding of the psychological mechanisms that govern our acceptance of increasingly lifelike machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robot occupations affect the categorization border between human and robot faces
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Tsukuba

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago