Michael Kanevsky

Papers

1

Total Citations

11

H-Index

1

About

Michael Kanevsky is a pioneering researcher in human-robot interaction and gerontechnology, with a primary focus on alleviating loneliness and social isolation among older adults in long-term care settings. His most cited work involves the design and evaluation of humanoid robot interventions as scalable, non-pharmacological tools to improve psychosocial well-being. In a landmark 2022 study protocol, Kanevsky proposed a pilot randomized controlled trial comparing humanoid robot intervention to treatment as usual for loneliness in long-term care homes—a pressing issue affecting up to 42% of residents and exacerbated by COVID-19 safety measures. This work has garnered 11 citations and lays the groundwork for integrating socially assistive robots into routine care. Kanevsky’s research bridges robotics, clinical psychology, and gerontology, demonstrating how technology can reduce barriers to social interaction and enhance quality of life. His contributions are particularly notable for addressing real-world implementation challenges and for advancing evidence-based protocols that could transform long-term care practices. With a growing citation impact, Kanevsky is shaping the future of compassionate, technology-driven elder care.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Humanoid robot intervention vs. treatment as usual for loneliness in long-term care homes: Study protocol for a pilot randomized controlled trial
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago