Qinghe Tang
Papers
1
Total Citations
18
H-Index
1
About
Dr. Qinghe Tang is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and healthcare technology. Her work centers on understanding and improving patient acceptance of medical service robots, a critical area as AI becomes increasingly integrated into clinical settings. Her most influential contribution is the development of an extended AI Device Use Acceptance (AIDUA) model, which she empirically validated in a landmark 2024 study (18 citations). This framework systematically explains the psychological and experiential factors that shape patients' willingness to adopt robotic caregivers, moving beyond technical performance to focus on user trust, perceived intelligence, and emotional comfort. By bridging the gap between advanced robotics and real-world patient needs, Dr. Tang’s research provides actionable insights for designing more empathetic and user-friendly medical AI systems. Her work is essential reading for scholars in human-computer interaction, healthcare innovation, and service robotics, offering a rigorous, user-centered foundation for the future of intelligent medical care.
Research Focus
Key Achievements
Top Papers
- 1