Ohyama
Papers
1
Total Citations
10
H-Index
1
About
Ohyama’s research explores the intersection of robotics, sociology, and human-robot interaction, with a particular focus on designing autonomous systems that adapt to social contexts. In their most-cited work, “A techno-sociological solution for designing a museum guide robot: Regarding choosing an appropriate visitor” (2012), Ohyama proposes a framework for robots to identify and engage with suitable human interaction partners in public spaces. This study, with 10 citations, offers early insights into how robots can navigate social cues and user preferences, laying groundwork for more intuitive, context-aware robotic guides. Ohyama’s contributions are notable for bridging technical design with sociological theory, emphasizing that effective robot behavior requires understanding human social dynamics. Their work has implications for service robotics, museum automation, and assistive technologies, where robots must operate alongside people. By addressing the challenge of “choosing an appropriate visitor,” Ohyama highlights a key problem in human-robot interaction: how robots can discern whom to approach and when. This research remains relevant as museums and public venues increasingly deploy autonomous guides, and Ohyama’s techno-sociological approach continues to inform the design of socially intelligent robots.
Research Focus
Key Achievements
Top Papers
- 1