CNRS Researcher at LRI, Univ. Paris-Sud, University Paris-Saclay,
member of the INRIA-affiliated Team Ex-Situ
Office 206, Laboratoire de Recherche en Informatique (LRI)
Bât 650, Rue Noetzlin, 91190 Gif-sur-Yvette, France
Contact: firstname . lastname @ lri.fr
I am interested in understanding human behavior in real-world activities involving expression and creativity, and developing new technologies enabling a better understanding of some of the processes that underlie our ability to be expressive through our body (motor control, planning, decision-making), but also enabling new ways for people to express, learn and create.
My current focus is on motor skill learning in music and dance. My approach uses methods from Cognitive Psychology, Human-Computer Interaction and Artificial Intelligence. I try to develop systems that can adapt to a user and that the user can adapt to her/his own need and style. I am conducting hypothesis-driven controlled experiments in our lab with musicians and dancers. And I am also using more inductive approaches involving observations and interviews in ecological contexts.
- MSc Internships ("Master 2 Recherche") on Active Learning in Movement-based Interaction (contact me)
- 29-06-17 | Corpus Nil Performance presented at MOCO'17 with M. Donnarumma
- 04-06-17 | Delivering a workshop on Machine Learning for Psychology Researchers at the Montreal Institute of Neurology.
- 22-05-17 | Corpus Nil received an award at Ars Electronica Award link
- 19-05-17 | Delibvering a workshop on Skill Learning & Interactive Music Tech at NIME 2017 link
- 04-17 | Long paper accepted at MOCO 2017, on Individuality in Piano Performance Depends on Skill Learning
- Jean-Philippe Rivière, PhD student working on Facilitating Dance Movement Learning through Interactive Feedbacks, started October, 2017, co-supervised with Sarah Fdili Alaoui and Wendy Mackay
- EU project MIM (H2020-MSCA-IF-2014, GA no. 659232), Individual Fellowship, 01/2016-12/2018 mim.ircam.fr