Yiyang Yu
Papers
1
Total Citations
2
H-Index
1
About
Yiyang Yu is a researcher at the intersection of human-robot interaction and cognitive psychology, with a primary focus on how aesthetic and evolutionary principles shape robot design. In their most-cited work, "A Behavior Study on the Effect of Baby Schema on Face Discrimination for Robot Appearance Design" (2021), Yu investigates how innate human responses to infantile features—known as "baby schema"—can be leveraged to enhance the visual appeal and social acceptance of robots. This study, which has garnered 2 citations, provides empirical evidence that subtle facial cues can trigger protective and nurturing instincts, offering a foundational framework for designing more engaging and trustworthy robotic companions. By bridging ethology and engineering, Yu’s work contributes to the growing field of socially assistive robotics, where appearance directly influences user interaction and emotional bonding. Their research is particularly relevant for students and designers aiming to create robots that seamlessly integrate into human environments, highlighting the importance of interdisciplinary approaches in modern AI development.
Research Focus
Key Achievements
Top Papers
- 1