Jean-Yves Antoine
Papers
4
Total Citations
15
H-Index
3
About
Jean-Yves Antoine is a leading researcher in the fields of spoken language understanding (SLU) and affective human-robot interaction. His work bridges the gap between deep linguistic analysis and emotion-aware computing, particularly for vulnerable populations. Antoine’s major contributions include the development of LOGUS, a French SLU system that achieves deeper semantic parsing than standard concept spotters, enabling multi-domain conversational agents to handle complex application domains. He also pioneered the EmotiRob project and the Emologus model, which uses compositional linguistic analysis to detect emotions from the propositional content of spoken utterances. His research on affective interaction with companion robots for hospitalized children (6 citations) demonstrates the real-world impact of his work, showing how emotion detection can improve pediatric care. With a focus on both technical depth and ethical application, Antoine’s work has shaped how machines understand not just words, but the emotional states behind them. His contributions remain foundational for researchers building empathetic, context-aware dialogue systems.
Research Focus
Key Achievements
Top Papers
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- 3From Speech to Emotional Interaction: EmotiRob Project3 citations · 2011
- 4