Ziyan Hu
Papers
1
Total Citations
5
H-Index
1
About
Ziyan Hu is a design researcher whose work bridges human-centered design and emerging technologies, with a particular focus on service robotics and product innovation. Their most-cited paper, "A Design Study on Commercial Cleaning Robots Based on Kano–QFD" (2024, 5 citations), addresses a critical post-pandemic need: enhancing public space safety through intelligent cleaning solutions. Hu’s research integrates the Kano model with Quality Function Deployment (QFD) to systematically translate user requirements into design specifications, offering a practical framework for developing commercial cleaning robots that meet evolving hygiene standards. This work highlights Hu’s ability to apply rigorous design methodologies to real-world challenges, contributing to the growing field of human-robot interaction in service environments. By focusing on user-centered design in the context of public health, Hu’s research has implications for both academia and industry, particularly in the development of autonomous systems that prioritize safety and efficiency. Their work represents a meaningful step toward more responsive and adaptive robotic solutions in public spaces.
Research Focus
Key Achievements
Top Papers
- 1A Design Study on Commercial Cleaning Robots Based on Kano–QFD5 citations · 2024