Jason Fu

University of British Columbia

Papers

3

Total Citations

26

H-Index

2

About

Jason Fu’s research lies at the intersection of gerontechnology, human-robot interaction, and dementia care, with a focused commitment to understanding how telepresence robots can transform long-term care environments. His most cited work, “Working with a robot in hospital and long-term care homes: staff experience” (2024, 22 citations), addresses a critical gap by centering the perspectives of frontline staff—nurses, aides, and therapists—who must integrate these technologies into daily routines. Fu’s findings reveal both the practical benefits and the emotional complexities of robotic assistance in dementia care, offering actionable insights for implementation. More recently, his 2025 studies on the impact of telepresence robots on family caregivers and residents (2 citations each) evaluate how virtual visits facilitated by robots can reduce isolation and support person-centered care in Canadian long-term care homes. By placing robots directly in residents’ rooms, Fu’s work demonstrates measurable improvements in social connection—a vital outcome for aging populations. His research is notable for its human-centered approach, ensuring that technological innovation serves both the cared-for and the caregivers. Fu’s contributions are shaping how we design and deploy supportive technologies in institutional care settings.

Research Focus

Key Achievements

2
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Working with a robot in hospital and long-term care homes: staff experience
22 citations · 2024
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago