Gyuyi Kang
Papers
1
Total Citations
16
H-Index
1
About
Gyuyi Kang is an emerging researcher at the intersection of human-robot interaction, affective computing, and artificial intelligence. Her work focuses on developing socially intelligent robots capable of meaningful emotional engagement with humans, leveraging the power of large language models to enhance machine empathy and expressiveness. Kang's most notable contribution to date is her 2023 paper on equipping social robots with empathetic non-verbal cues, which has already accumulated 16 citations — a strong early indicator of its influence in the field. In this work, she introduced the SAFE framework — a structured taxonomy encompassing Speech, Action (gesture), Facial expression, and Emotion — providing a principled design language for encoding empathetic behavior in robotic systems. By integrating large language models into this pipeline, her research bridges cutting-edge natural language processing with embodied robotic interaction, addressing one of the most challenging frontiers in human-robot communication. Her contributions are particularly relevant to researchers and students interested in affective robotics, social AI, and human-centered design. As the field of emotionally intelligent machines continues to grow, Kang's foundational work on non-verbal empathy frameworks positions her as a promising voice shaping how robots will meaningfully connect with people.
Research Focus
Key Achievements
Top Papers
- 1