Changlong Yu

Papers

Total Citations

H-Index

About

Changlong Yu is a design researcher whose work sits at the intersection of human-centered design and intelligent systems, with a particular focus on service robots for public health and safety. His key research areas include product-service system design, user experience optimization, and the application of quality function deployment (QFD) methodologies to robotic systems. Yu’s most notable contribution is his pioneering use of the Kano–QFD integrated framework to guide the development of commercial cleaning robots in the post-pandemic era. In his highly cited 2024 study, he systematically identified user needs and translated them into concrete design specifications, addressing the critical gap between manual cleaning limitations and the rising demand for automated, high-standard sanitation in public spaces. This work has garnered 5 citations in a short time, reflecting its timely relevance. By bridging user satisfaction metrics with engineering design parameters, Yu has provided a replicable model for developing service robots that are both technically robust and genuinely responsive to societal needs. His research offers valuable insights for designers and engineers aiming to create intelligent systems that enhance public well-being.