11h00 : Mohamed Chetouani - Interpersonal Human Machine Interaction

Organisé par : 
L'équipe des Keynote Speeches : Sihem Amer-Yahia, Jérôme David, Renaud Lachaize
Intervenant : 
Mohamed Chetouani (ISIR)

Information détaillée : 


Prof. Mohamed Chetouani is the head of the IMI2S (Interaction, Multimodal Integration and Social Signal) research group at the Institute for Intelligent Systems and Robotics (CNRS UMR 7222), University Pierre and Marie Curie-Paris 6. He is currently a Full Professor in Signal Processing, Pattern RecDateognition and Machine Learning at the UPMC. His research activities, carried out at the Institute for Intelligent Systems and Robotics, cover the areas of social signal processing and personal robotics through non-linear signal processing, feature extraction, pattern classification and machine learning. He is also the co-chairman of the French Working Group on Human-Robots/Systems Interaction (GDR Robotique CNRS) and a Deputy Coordinator of the Topic Group on Natural Interaction with Social Robots (euRobotics). He is the Deputy Director of the Laboratory of Excellence SMART Human/Machine/Human Interactions In The Digital Society. In 2016, he was a Visiting Professor at the Human Media Interaction group of University of Twente. He is the coordinator of the ANIMATAS  H2020 Marie Sklodowska Curie European Training Network.


Réalisation technique : Antoine Orlandi | Tous droits réservés
Résumé : 

Synchrony, engagement and learning are important abilities that allow sustaining dynamics of social interaction. In this talk, we will address these topics with an interpersonal interaction point of view. In particular, we will introduce interpersonal human-machine interactions schemes and models with a focus on definitions, sensing and evaluations of social signals and behaviors. We will show how these models are currently applied to detect engagement in multi-party human-robot interactions, detect human’s personality traits and task learning.