Yamazaki
Papers
1
Total Citations
10
H-Index
1
About
Yamazaki’s research sits at the intersection of human-robot interaction, sociology, and museum studies, exploring how robots can meaningfully engage with people in public spaces. Their most-cited work, “A techno-sociological solution for designing a museum guide robot: Regarding choosing an appropriate visitor” (2012, 10 citations), proposes a framework for robots to autonomously select which visitors to approach, blending technical design with sociological insights to improve natural interaction. This contribution addresses a key challenge in social robotics: moving beyond scripted encounters to context-aware, adaptive behavior. Though their citation count is modest, the work’s focus on real-world deployment—rather than lab-based experiments—marks it as a thoughtful step toward integrating robots into everyday cultural settings. Yamazaki’s approach highlights the importance of understanding human social norms when designing autonomous systems, offering a model for researchers aiming to create robots that are not just functional, but socially intelligent. Their work continues to inform discussions on how technology can enhance, rather than disrupt, human experiences in shared environments.
Research Focus
Key Achievements
Top Papers
- 1