Zuowei Meng
Papers
2
Total Citations
17
H-Index
2
About
Zuowei Meng is a leading researcher at the intersection of healthcare informatics and human-robot interaction, with a primary focus on optimizing intelligent guidance systems for clinical environments. His work centers on deploying and refining mobile robots to streamline patient flow and communication in outpatient settings. Meng’s foundational study, “Performance Review of Intelligent Guidance Robot at the Outpatient Clinic Setting” (2021, 13 citations), provided a critical analysis of a roaming robot’s real-world implementation, evaluating its effectiveness through human-robot verbal communication data. Building on these initial findings, his subsequent work, “Optimizing Voice Recognition Informatic Robots for Effective Communication in Outpatient Settings” (2023, 4 citations), directly addresses identified shortcomings by exploring the nuances of patient inquiries. This research elucidates the complex interplay between technology and healthcare, aiming to enhance robot responsiveness and user experience. Meng’s contributions are pivotal for advancing practical, voice-driven informatic tools that improve service efficiency and patient satisfaction in busy medical facilities, marking him as a key voice in the evolution of intelligent healthcare robotics.
Research Focus
Key Achievements
Top Papers
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- 2