Kuei‐Hu Chang
Papers
1
Total Citations
7
H-Index
1
About
Dr. Kuei-Hu Chang is a leading researcher whose work sits at the intersection of artificial intelligence, healthcare technology, and advanced decision-making methodologies. His research primarily focuses on the adoption and optimization of AI-driven systems in critical sectors, with a particular emphasis on home healthcare and elderly care. Dr. Chang is best known for pioneering the application of the Fuzzy Analytical Hierarchy Process (FAHP) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to evaluate complex, multi-criteria problems. His most cited work, "Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare," provides a groundbreaking framework for addressing the global healthcare labor shortage exacerbated by aging populations and declining birth rates. This study, which has already garnered 7 citations since its publication in 2025, systematically identifies and prioritizes the critical factors for successfully integrating AI robots into home care settings. By bridging the gap between technological feasibility and user acceptance, Dr. Chang’s contributions offer actionable insights for policymakers, healthcare providers, and engineers, positioning him as a pivotal figure in shaping the future of intelligent, compassionate healthcare delivery.
Research Focus
Key Achievements
Top Papers
- 1