Papers
12
Total Citations
281
H-Index
6
About
Christine Lisetti is a pioneering researcher in affective computing, human-robot interaction, and socially intelligent agents. Her work focuses on endowing robots and virtual agents with the ability to recognize, express, and respond to human emotions, making human-machine interaction more natural and effective. One of her most influential contributions is the development of emotion-based control for cooperating heterogeneous mobile robots (103 citations), which demonstrated how affective states can resolve deadlock in multi-robot systems. She also created Cherry, an autonomous social robot designed to serve users with personality and emotional capabilities, and conducted foundational user studies on perceptions of service robots (63 citations). Lisetti advanced real-time emotion recognition by integrating bio-sensors and user modeling to build psycho-physiological maps of emotions (54 citations), a key step toward adaptive interfaces. Her Affective Knowledge Representation scheme for socially intelligent agents (23 citations) provides a taxonomy for designing agents that can reason about emotions. Through projects like eEVA, a multimodal human-robot interface, and her work on rapport-building support robots, Lisetti continues to shape the future of empathetic, socially aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Emotion-based control of cooperating heterogeneous mobile robots103 citations · 2002
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- 4Personality, Affect and Emotion Taxonomy for Socially Intelligent Agents23 citations · 2002
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- 6Cherry, The Little Red Robot… with a Mission … AND a Personality!7 citations · 2002
- 7eEVA as a Real-Time Multimodal Agent Human-Robot Interface5 citations · 2019
- 8Multilevel emotion modeling for autonomous agents5 citations · 2004
- 9Towards Building Rapport with a Human Support Robot4 citations · 2022
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