Papers
1
Total Citations
4
H-Index
1
About
Yujing Cui’s research lies at the intersection of human–robot interaction and design psychology, with a particular focus on how perceptual features in small assistant robots influence user satisfaction. In her most-cited work, “Relationship Between Individual Perceptual Feature Demand and Satisfaction in the Small Assistant Robot Modeling Design” (2020), Cui systematically investigates how users’ individual preferences for robot appearance—such as shape, size, and color—directly correlate with their emotional and functional satisfaction. This study, which has garnered 4 citations, provides foundational insights for designers seeking to create more personalized and user-friendly robotic companions. By bridging perceptual psychology with industrial design, Cui’s contributions help clarify the subtle but critical role of aesthetic and ergonomic features in technology acceptance. Her work is particularly relevant for researchers developing assistive robots for home or educational settings, where user comfort and engagement are paramount. Though early in her citation trajectory, Cui’s targeted approach to modeling design satisfaction offers a valuable framework for future studies on user-centered robotics.
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