Shogo Suda

Meiji University

Papers

2

Total Citations

35

H-Index

2

About

Shogo Suda is a leading researcher at the intersection of human-robot interaction and gerontechnology, dedicated to designing socially assistive robots that combat social isolation among older adults. His work is distinguished by a deep commitment to participatory design (PD), ensuring that technology is not imposed on aging populations but co-created with them. In his highly cited 2022 study, “Socially facilitative robots for older adults to alleviate social isolation,” Suda conducted cross-cultural PD workshops in the US and Japan, demonstrating that collaborative design can yield robots that truly foster social connection rather than replacement. This foundational work has garnered 32 citations, setting a new standard for user-centered robotics. Suda further explored the impact of external crises in his 2024 follow-up, examining how the COVID-19 pandemic shifted older adults’ needs and preferences for robot technologies, comparing workshops conducted during versus after the pandemic. By testing the stimulation versus disengagement hypotheses, he revealed nuanced ways technology can either enhance or hinder real-world social interaction. Suda’s research is vital for creating empathetic, effective robotic companions that respect the autonomy and social lives of older adults.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Socially facilitative robots for older adults to alleviate social isolation: A participatory design workshop approach in the US and Japan
32 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Meiji University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago