Papers
2
Total Citations
14
H-Index
2
About
Auriane Boudin is a rising star in multimodal human-machine interaction, whose work bridges the gap between how humans communicate and how machines can understand and replicate that behavior. Her research centers on the automatic assessment of engagement and the synthesis of natural, context-aware gestures for conversational agents. In her highly cited 2023 paper, "A multimodal approach for modeling engagement in conversation" (11 citations), Boudin established a foundational framework for automatically evaluating engagement—a key variable for designing socially-aware robots that can adapt to the dynamics of a live interaction. Building on this, her 2024 work, "GeSTICS: A Multimodal Corpus for Studying Gesture Synthesis in Two-party Interactions with Contextualized Speech" (3 citations), introduces a novel corpus that models the intricate interplay between verbal, non-verbal, and individual contextual cues. This contribution is critical for generating realistic co-speech gestures and facial expressions in dyadic human-agent interactions. By tackling both the perception and generation of social signals, Boudin is paving the way for more fluid, intuitive, and effective human-robot communication.
Research Focus
Key Achievements
Top Papers
- 1A multimodal approach for modeling engagement in conversation11 citations · 2023
- 2