Hsing-Wen Wang

National Changhua University of Education

Papers

Total Citations

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About

Dr. Hsing-Wen Wang is a pioneering researcher at the intersection of human-robot interaction, virtual reality (VR) education, and fault-tolerant media systems. His most influential work, the 2022 study on a "Virtual reality human–robot interaction technology acceptance model for learning direct current and alternating current," has garnered 10 citations and introduces a groundbreaking framework for integrating VR with robotics to enhance STEM education. This model not only advances pedagogical approaches but also provides a validated tool for assessing user acceptance of immersive learning technologies. In his 2021 paper, Dr. Wang proposed an innovative fault-tolerant Content List Management Unit (CLMU) for media servers in the smart robot domain, addressing critical reliability challenges in real-time streaming systems—particularly for robotic claw machines. This work demonstrates his ability to solve practical engineering problems while pushing the boundaries of autonomous system resilience. With a focus on bridging theoretical models and applied robotics, Dr. Wang’s contributions are shaping the future of interactive learning environments and dependable media delivery in smart robotics. His research offers valuable insights for students and engineers exploring VR-enhanced education and fault-tolerant system design.