Papers
1
Total Citations
18
H-Index
1
About
Jingjing Gui is a pioneering researcher at the intersection of healthcare technology and human-robot interaction, with a primary focus on understanding patient acceptance of medical service robots in the emerging medical intelligence era. Her most influential work, published in 2024, develops an extended AI Device Use Acceptance (AIDUA) model to empirically investigate how patients form intentions to use medical service robots—a critical area that remains underexplored from a user experience perspective. This study, which has already garnered 18 citations shortly after publication, addresses a significant gap in the literature by moving beyond technical performance metrics to examine the psychological and behavioral factors driving patient adoption of robotic healthcare assistants. Gui's contributions are particularly valuable as healthcare systems worldwide increasingly integrate AI-powered robots for tasks ranging from patient monitoring to rehabilitation support. By centering the patient experience, her research provides actionable insights for designers, healthcare administrators, and policymakers seeking to improve technology acceptance and ultimately enhance care delivery. Her work represents an important step toward ensuring that the benefits of medical robotics are realized through thoughtful, human-centered implementation strategies.
Research Focus
Key Achievements
Top Papers
- 1