Ka Man Yip
Papers
1
Total Citations
13
H-Index
1
About
Ka Man Yip is a pioneering researcher in human-machine communication, with a focus on the emerging dynamics of multi-agent systems where robots interact not only with humans but also with each other. Her work, most notably the 2021 paper "Power Chess" (13 citations), explores how unconstrained emotional variables in social systems complicate these interactions, reshaping our understanding of human-robot and robot-robot-human relationships. Yip’s contributions lie in dissecting the interplay between machine behavior and human perception, revealing how emotional and social factors influence trust, collaboration, and power dynamics in hybrid teams. Her research has significant implications for designing more intuitive and responsive AI systems in fields like healthcare, education, and collaborative robotics. Though early in her career, Yip’s work is already recognized for its forward-thinking approach to the psychological and social dimensions of human-machine interaction, positioning her as a rising voice in the study of complex, emotionally-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Power Chess13 citations · 2021