Papers
2
Total Citations
27
H-Index
2
About
Le Xi is a researcher whose work bridges product design, user experience, and decision-making methodologies, with a particular focus on integrating fuzzy logic into product evaluation. Her key research areas include Kansei engineering, product attractiveness analysis, and perceptual design, where she seeks to quantify subjective user preferences. Her most notable contribution is the development of a novel approach that combines the fuzzy Kano model with importance–performance analysis (IPA) to systematically identify and prioritize attractive product features. This work, published in 2020 and garnering 22 citations, addresses a critical gap in traditional evaluation grid methods by offering a more comprehensive framework for capturing the abstract factors that drive user appeal. By moving beyond simple paired comparisons, Le Xi’s model enables designers and product managers to better understand which attributes truly delight users. Additionally, her 2016 study on constructing perceptual intention spaces for industrial robots, co-authored with experts, explores how user and expert perspectives can be integrated to inform robotic design. Though her citation counts are still growing, Le Xi’s methodological innovations are particularly valuable for researchers in human–computer interaction and product development, offering practical tools for translating subjective perceptions into actionable design insights.
Research Focus
Key Achievements
Top Papers
- 1
- 2