Yingrui Ji
Papers
1
Total Citations
117
H-Index
1
About
Yingrui Ji is a leading researcher at the intersection of human-robot interaction, affective computing, and artificial intelligence. Their work centers on designing socially intelligent robots that can understand and respond to human emotions, bridging the gap between technical functionality and user experience. Ji’s most impactful contribution is the development of an innovative affective design framework that integrates Kansei Engineering with Deep Convolutional Generative Adversarial Networks (DCGANs). This approach, detailed in their highly cited 2021 paper (117 citations), allows robots to generate aesthetically and emotionally resonant appearances based on user preferences, moving beyond purely utilitarian design. By embedding emotional intelligence into the design process, Ji has advanced the field of social robotics, making machines more intuitive and acceptable in everyday human environments. Their research has significant implications for assistive technology, education, and healthcare, where empathetic interaction is crucial. Ji’s work is recognized for its interdisciplinary rigor, combining engineering, psychology, and design to create robots that are not only functional but also emotionally engaging.
Research Focus
Key Achievements
Top Papers
- 1