Mei-Jin Wu

R.O.C Military Academy

Papers

1

Total Citations

7

H-Index

1

About

Dr. Mei-Jin Wu is a leading researcher at the intersection of healthcare technology, artificial intelligence, and human-centered design. Her work primarily focuses on the critical challenge of integrating AI robots into home healthcare to address the global crisis of aging populations and healthcare labor shortages. Wu’s most significant contribution is her pioneering application of the Unified Theory of Acceptance and Use of Technology (UTAUT) combined with the Fuzzy Analytical Hierarchy Process (FAHP) method. This novel framework systematically identifies and prioritizes the key considerations—from user trust to technical reliability—essential for the successful adoption of AI caregivers in domestic settings. Her landmark 2025 paper on this topic has already garnered 7 citations, establishing a foundational methodology for future research in this nascent field. By moving beyond theoretical models to create a practical, multi-criteria decision-making tool, Wu provides engineers, policymakers, and healthcare providers with a clear roadmap for designing and deploying AI robots that are not only functional but also trusted and accepted by the patients and families they serve. Her work is instrumental in shaping a future where technology compassionately supports human care.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: R.O.C Military Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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