David Rei, PhD Student

Introduction

I worked at LIMSI-CNRS from January to August 2019 as an Engineer. I began my PhD thesis in September, 2019 on the subject: "Human-Machine Interactions Adapted to the Personality of Users: Application of Motivation to Physical Activity". This thesis is funded by a university scholarship supported by Paris-Saclay University (formerly Paris-Sud University). I am part of the STIC doctoral school (Pole B).

LIMSI is now known as LISN which stands for "Laboratoire Interdisciplinaire des Sciences du Numérique", Interdisciplinary Laboratory of Digital Sciences. LISN is located in Orsay, a city south of Paris, France.

Contact

At LISN, my office is located in building 508. Take stairs to 2nd floor, my office is number 219, in the middle of the northern corridor.

You can also contact me by e-mail: david.rei[at]lisn.upsaclay.fr

Supervision

My PhD work is directed by Jean-Claude Martin, Professor of Computer Science at Paris-South 11 University and Head of the Group “Cognition, Perception and Usability” at LISN.

It is also co-supervised by Céline Clavel, Assistant Professor of Psychology and Brian Ravenet, Assistant Professor in Human-Computer Interaction.

Research Topics

I am working on human-computer interactions (HCI) and especially on a personality-based adaptive model to improve user's motivation to practice physical activity. This is a pluridisciplinary work as it involves very different fields of computing and psychology such as human-computer interactions, adaptive interactions, persuasive technologies and strategies, motivation, as well as two theories from psychology. The Self-Determination Theory identifies three basic needs to be met for the self-motivation and well-being of individuals in their daily activities. The Regulatory Focus Theory presents two action strategies used by individuals, depending on the situation (motivation by gain or loss).

Our aim through this work is to propose a new model of interaction, based on user's personality, actions strategies and physical activity level, that will promote and enhance their motivation to practice regular physical activity.

Experiments

To prove the viability of our model, in terms of motivation to physical activity, we have conducted and are conducting several experiments.

First study: adaptation in number of steps of a daily walking goal

description to be completed

Second study (ongoing): adaptation of daily motivational messages for walking

description to be completed

Teaching

Total number of hours: 192h.

  • 2019-2020
    • Advanced databases (DUT 2 - S3) - 36 h
    • Object oriented programming - basics (DUT 1 - S2) - 21 h
  • 2020-2021
    • Advanced databases (DUT 2 - S3) - 18 h
    • Object oriented programming - basics (DUT 1 - S2) - 42 h
  • 2021-2022
    • Advanced databases (DUT 2 - S3) - 18h
    • Object oriented programming - basics (BUT 1 - S2) - 42h
    • Project monitoring (BUT 1 - S2) - 6h : "Analysis and Quality"

Publications and communications

Publications

  • David Rei, Jean-Claude Martin, Céline Clavel. Interactions Humain-Machine adaptées à la personnalité des utilisateurs : Application de motivation à l’activité physique pour des patients lombalgiques. Neuroscience et multimodalité dans les interactions humain-humain, humain-agent ou humain-robot, May 2019, Paris, France. [Link]
  • David Rei, Brian Ravenet, Jean-Claude Martin, and Céline Clavel. 2020. PADMEH: Personality-based Adaptive moDel for Mobile E-Health. In Proceedings of the 4th HUMANIZE Workshop. [Link]

Communications

  • CPU Group seminar about my work as a PhD Student at LIMSI, on 03/03/2020 .
  • Rei David. 2020. HCI adapted to the personality of the user: application of motivation to physical activity. LIMSI, PhD Students Day. 2020/06/25 . [Link]
  • Rei, D, Ravenet, B., Martin, J.-C., Clavel, C. 2022. Daily Walking in a Mobile Personalised Coaching Application: Combining Self-Determination Theory and Regulatory Focus Theory for Motivation. Abstract and Oral presentation for ECPP 2022 (European Conference on Positive Psychology) , Reykjavik, Iceland.