Jenny Liu
Papers
1
Total Citations
47
H-Index
1
About
Jenny Liu is a pioneering researcher in human-robot interaction, with a particular focus on how emotional expression shapes collaborative learning between people and machines. Her most-cited work, "Robots that express emotion elicit better human teaching" (2011, 47 citations), demonstrates that when robots use emotionally expressive speech, humans become more effective and engaged teachers, improving the robot's learning outcomes. This foundational contribution bridges affective computing and interactive machine learning, showing that social cues are not just cosmetic but functionally critical for human-robot collaboration. Liu's research has influenced the design of educational and assistive robots, where emotional responsiveness enhances user trust and teaching quality. Her work is widely recognized for its elegant experimental design and practical implications, making her a key figure in the growing field of socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1Robots that express emotion elicit better human teaching47 citations · 2011