Papers
5
Total Citations
17
H-Index
3
About
Jeanne Villaneau is a leading researcher in affective computing and spoken language understanding, with a focus on enabling machines to detect and respond to human emotions. Her work bridges natural language processing and human-robot interaction, particularly in sensitive applications like pediatric care. Villaneau is best known for developing LOGUS, a deep spoken language understanding system that goes beyond standard concept spotting to handle multi-domain and complex conversational contexts. She also created Emologus, a compositional model that detects emotions from the propositional content of spoken utterances, and contributed to the EmotiRob project, which explores cognitive and emotional interaction between humans and robots. Her 2011 study on affective interaction with a companion robot for hospitalized children (6 citations) demonstrates the real-world impact of her research, showing how emotion-aware systems can improve patient well-being. With over 17 citations across her key papers, Villaneau’s work is foundational for building empathetic, context-aware dialogue systems that move beyond simple command recognition to genuine emotional engagement.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3From Speech to Emotional Interaction: EmotiRob Project3 citations · 2011
- 4Cognitive and Emotional Interaction2 citations · 2008
- 5