Wen‐Hsiung Wu
Papers
1
Total Citations
17
H-Index
1
About
Wen-Hsiung Wu is a leading researcher at the intersection of technology-enhanced learning and healthcare education, with a primary focus on leveraging intelligent systems to improve health literacy. His most cited work, "The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception" (2021, 17 citations), demonstrates his pioneering contributions to using human-robot interaction as a tool for addressing the global challenge of healthy aging. By developing and empirically testing a robot-assisted learning system, Wu has shown that interactive robotic platforms can significantly enhance both health literacy and learners' perceptions of their educational experiences. This research is particularly notable for bridging the gap between gerontechnology and pedagogy, offering scalable solutions for an aging population. Wu's work stands out for its practical implications in healthcare education, where his findings provide a roadmap for integrating social robots into community health programs. With a growing citation impact, his research continues to influence scholars in educational technology, human-computer interaction, and public health, positioning him as a key innovator in the design of intelligent, learner-centered health interventions.
Research Focus
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Top Papers
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