5 papers
Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs
Lucie Galland, Chloé Clavel, Magalie Ochs
As Socially Interactive Agents (SIAs) become increasingly integrated into daily life, the ability to calibrate user trust to an agent's actual capabilities would help ensure approp…
Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager
Lucie Galland, Catherine Pelachaud, Florian Pecune
In this work, we propose a novel framework that integrates large language models (LLMs) with an RL-based dialogue manager for open-ended dialogue with a specific goal. By leveragin…
GRETA: Modular Platform to Create Adaptive Socially Interactive Agents
Michele Grimaldi, Jieyeon Woo, Fabien Boucaud +7
The interaction between humans is very complex to describe since it is composed of different elements from different modalities such as speech, gaze, and gestures influenced by soc…
EMMI -- Empathic Multimodal Motivational Interviews Dataset: Analyses and Annotations
Lucie Galland, Catherine Pelachaud, Florian Pecune
The study of multimodal interaction in therapy can yield a comprehensive understanding of therapist and patient behavior that can be used to develop a multimodal virtual agent supp…
Seeing and hearing what has not been said; A multimodal client behavior classifier in Motivational Interviewing with interpretable fusion
Lucie Galland, Catherine Pelachaud, Florian Pecune
Motivational Interviewing (MI) is an approach to therapy that emphasizes collaboration and encourages behavioral change. To evaluate the quality of an MI conversation, client utter…