Grace Hu
Papers
2
Total Citations
52
H-Index
2
About
Grace Hu is a leading researcher at the intersection of gerontechnology and dementia care, with a primary focus on how telepresence robots can transform social connection and care delivery in long-term care (LTC) settings. Her work critically examines the human experience of technology, moving beyond technical feasibility to understand the real-world impacts on residents, families, and frontline staff. Hu’s major contributions include a landmark study on the use of Double 3 telepresence robots during the COVID-19 pandemic, which revealed how these devices sustained vital family connections over 4 to 12 months, garnering 30 citations. She further advanced the field by centering the often-overlooked perspectives of healthcare staff, demonstrating in a 2024 study (22 citations) how robots reshape workflows and relational dynamics in dementia care. Her research is notable for its empathetic, multi-stakeholder approach, providing actionable insights for integrating robotics into aging services. With a growing citation record and a focus on real-world implementation, Grace Hu is shaping the future of compassionate, technology-enabled elder care.
Research Focus
Key Achievements
Top Papers
- 1
- 2Working with a robot in hospital and long-term care homes: staff experience22 citations · 2024