Mini bio (français)
Camille Jeunet a obtenu un Master (2013) ainsi qu’un Doctorat (2016) en sciences cognitives, tous deux de l’Université de Bordeaux. Son Doctorat a été récompensé par l’obtention du Label Européen ainsi que par 3 prix de thèse : de l’IFRATH-Kaelis (pour la meilleure thèse sur les technologies du handicap), de la société IEEE SMC (pour la meilleure thèse en Interaction Homme-Machine) et de l’Université de Bordeaux (prix spécial du Jury International). En 2017-2018, elle est recrutée en tant que post-doctorante sur un projet en collaboration entre l’EPFL (Genève, Suisse) et Inria (Rennes, France). Depuis Octobre 2018, elle est Chargée de Recherche au CNRS. Elle mène une recherche interdisciplinaire combinant psychologie, informatique et neurosciences afin de mieux comprendre les mécanismes sous-tendant l’apprentissage humain lors de l’utilisation d’Interfaces Cerveau-Ordinateur (ICO), et d’améliorer l’entraînement des utilisateurs d’ICO. Elle est particulièrement intéressée par l’usage de ces technologies pour améliorer les compétences cognitives et motrices des athlètes et des patients ayant subi un AVC. Depuis 2017, elle fait partie du bureau de l’association ICO française, CORTICO. Elle est notamment chargée de l’organisation d’une série annuelle de conférences, combinant la journée de l’association et une journée jeunes chercheurs.
Short bio (anglais)
Camille Jeunet obtained a M.Sc (2013) as well as a PhD (2016) degree in cognitive sciences, both from the University of Bordeaux. Her PhD was awarded by the European Label and by 3 PhD awards, from IFRATH-Kaelis (best PhD in assistive technologies), from the IEEE SMC society (best PhD in Human-Computer Interaction) and from the University of Bordeaux (special prize of the international committee). In 2017-2018, she was hired for a post-doc at EPFL (Geneva, Switzerland) and Inria (Rennes, France). Since October 2018, she has been a Research Scientist at CNRS (the french National Center for Scientific Research). She leads an interdisciplinary research bringing together computer science, psychology and neurosciences in order to better understand the processes underlying human learning in Brain-Computer Interfaces (BCIs), and improve BCI user-training. She is particularly interested in using these technologies to improve cognitive and motor skills in athletes and in patients who suffered from a stroke. Since 2017, she has been part of the board of the BCI french association, called CORTICO. She is notably in charge of organising, each year, the meeting of this association as well as a conference for the young researchers of the domain.
In Brief: Research Topic
Brain Computer Interfaces (BCIs) are communication and control tools that enable their users to interact with the environment using their brain activity alone. Applications based on BCIs are very promising in many fields, ranging from the control of assistive technologies for serverly motor-disabled patients to the rehabilitation after stroke through the improvement of athletes’ performances. Unfortunately, these technologies remain barely used outside laboratories. One reason: a sustainable portion of the users seem to be unable to learn to control them…
My research projects aim to improve the efficiency, reliability and acceptability of neurotechnologies based on ElectroEncephaloGraphy (EEG), and notably of Brain-Computer Interfaces (BCIs). To improve BCI usability, and thus enhance their acceptability, I am working on several axes:
- I am leading theoretical research to understand the processes undelying human learning in BCIs. In other words, I try to identify the factors impacting BCI performance (cognitive factors, personality, neurophysiological patterns, design artifacts, training procedure, etc.). We are currently working on a modelisation of the leaning process in BCI/neurofeedback, integrating these different factors and highlighting their relationships.
- In a Human-Computer Interaction perspective, I am trying to improve training protocols with a user-centered approach, and to adapt these protocols to each user’s profile, in order to optimise the learning process. To do so, we use innovative technologies that enable us to provide feedback on other sensory modalities than the visual one (such as the tactile modality) or to enhance motivation (through the use of virtual reality).
- Finally, we aim to apply these research projects to end-users, notably in the medical field: for stroke rehabilitation for instance, as well as for improving learning in a clinical neurofeedback context, for instance for Parkinson disease patients; but also in sport science: to improve athletes’ cognitive and motor performances.
Previous positions
Post-Doc — Supervision & Funding
I have received an EPFL/Inria International Lab funding for a Post-Doc fellowship of 16 month. During this post-doc I had the opportunity to work mainly with:
- Anatole Lécuyer & Ferran Argelaguet – Inria Rennes Bretagne Atlantique, France, Project-Team Hybrid
- Jose del R. Millan & Ricardo Chavarriaga – EPFL, Switzerlance – CNBI
- Benoît Bideau & Richard Kulpa – University of Rennes 2 / ENS, France – Movement, Sport, Health lab
PhD — Supervision & Funding
I have received an IdEx (Initiative of Excellence) grant, from the University of Bordeaux, for international PhD. Thus, I am working in the context of a partnership between:
- University of Bordeaux — the Handicap, Activity, Cognition, Health lab
- Inria Bordeaux Sud-Ouest — the Potioc project-team
- University of Sussex — the Interact lab
I was supervised by Dr. F. Lotte (Inria), Pr. B. N’KAOUA (Univ. Bordeaux), Dr. M. Hachet (Inria) and Pr. S. Subramanian (Univ. Sussex).
To know more…
This page presents a very quick overview of my research. For more details, please have a look at the Research Projects page or at my thesis manuscript :