Lisa Fan
Papers
1
Total Citations
65
H-Index
1
About
Lisa Fan is a pioneering researcher at the intersection of artificial intelligence, human-robot interaction, and emotional intelligence. Her work investigates how humans perceive and respond to emotionally intelligent artificial agents, challenging assumptions about the necessity of affective computing in robotics. In her highly cited 2017 paper, "Do We Need Emotionally Intelligent Artificial Agents?," Fan conducted foundational experiments comparing human perceptions of emotional intelligence in humans versus robots, revealing critical insights into user expectations and trust in autonomous systems. This work, with over 65 citations, has shaped subsequent studies on social robotics and human-centered AI design. Fan’s contributions extend to exploring how emotional cues in robots influence collaboration, empathy, and acceptance in real-world applications, from healthcare to education. Her research is notable for bridging cognitive science and engineering, offering empirical evidence that guides the development of more intuitive and socially aware machines. Through her rigorous, user-focused approach, Fan has established herself as a key voice in the debate over whether—and how—machines should emulate human emotion, making her work essential reading for students and researchers in human-robot interaction and AI ethics.
Research Focus
Key Achievements
Top Papers
- 1