Yankun Yang
Papers
1
Total Citations
4
H-Index
1
About
Yankun Yang is a researcher whose work bridges the fields of human-robot interaction and industrial design, with a particular focus on how perceptual features of small assistant robots influence user satisfaction. In his most cited study, "Relationship Between Individual Perceptual Feature Demand and Satisfaction in the Small Assistant Robot Modeling Design" (2020), Yang explores the nuanced connection between users' individual perceptual demands—such as aesthetic preferences and functional expectations—and their overall satisfaction with robot design. This work, which has garnered 4 citations, contributes to a growing body of knowledge on user-centered design in robotics, emphasizing that personalization in robot modeling can significantly enhance user experience. Yang's research is notable for its interdisciplinary approach, combining principles of cognitive psychology, ergonomics, and product design to inform more intuitive and emotionally resonant robotic interfaces. While his citation count is modest, his work lays important groundwork for future studies on how small, assistive robots can be tailored to meet diverse user needs, potentially impacting fields from healthcare to home automation. Yang's focus on the perceptual and emotional dimensions of design highlights a critical, often overlooked aspect of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1