Papers

4

Total Citations

48

H-Index

4

About

Kyoko Aida is a pioneering researcher at the intersection of robotics and healthcare education, specializing in the development of robot patients for nursing skill training. Her primary research areas include human-robot interaction, patient transfer simulation, and nursing education technology. Aida's major contributions center on designing and evaluating lifelike robotic patients that replicate human movements during critical nursing tasks, such as transferring a patient from bed to wheelchair. Her most cited work, "Design and evaluation of robot patient for nursing skill training in patient transfer" (2015, 23 citations), addresses the challenge of creating limb actions that simulate real patient behavior, enabling nurses to practice safely and effectively. This foundational research, along with related studies (2013–2014), has garnered over 48 citations, demonstrating its impact on advancing simulation-based training. By integrating robotics into fundamental nursing education, Aida's work reduces reliance on human volunteers and enhances skill acquisition, ultimately improving patient care quality. Her innovative approach positions her as a key figure in healthcare robotics, offering a compelling example of how engineering can transform medical training.

Research Focus

Key Achievements

4
H-Index
4
Papers
48
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Design and evaluation of robot patient for nursing skill training in patient transfer
23 citations · 2015
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tokyo Ariake University of Medical and Health Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago