Arthur Pellet-Rostaing
Papers
1
Total Citations
11
H-Index
1
About
Arthur Pellet-Rostaing is a researcher at the intersection of human-machine interaction and social signal processing, with a primary focus on understanding and modeling engagement in conversation. His most cited work, "A multimodal approach for modeling engagement in conversation" (2023, 11 citations), addresses a critical challenge in designing socially-aware robots: the automatic assessment of engagement as a dynamic, multimodal phenomenon. By integrating verbal and non-verbal cues, Pellet-Rostaing’s research provides foundational methods for decoding the subtle signals that drive successful interactions, offering tools to improve how machines perceive and respond to human social behavior. His contributions are particularly relevant for developing more intuitive and responsive AI systems, from conversational agents to collaborative robots. Though early in his career, his work has already garnered attention for its practical implications in real-world interaction scenarios, positioning him as a rising voice in the effort to bridge computational modeling with the complexities of human engagement.
Research Focus
Key Achievements
Top Papers
- 1A multimodal approach for modeling engagement in conversation11 citations · 2023