Intitulé de l'offre : Analysis and visualization of physiological and behavioral data to support reflexivity in Virtual Reality (M/W) (H/F)
Référence : UMR5205-ELILAV-003
Nombre de Postes : 1
Lieu de travail : VILLEURBANNE
Date de publication : mardi 16 mai 2023
Type de contrat : CDD Doctorant/Contrat doctoral
Durée du contrat : 36 mois
Date de début de la thèse : 1 septembre 2023
Quotité de travail : Temps complet
Rémunération : 2 135,00 € gross monthly
Section(s) CN : Information sciences: processing, integrated hardware-software systems, robots, commands, images, content, interactions, signals and languages
Description du sujet de thèse
A PhD position is opened in the SICAL team of the LIRIS lab (INSA Lyon, CNRS) within the framework of the ANR RENFORCE project “Reflexive Multisensory Immersive Environment for Chemical Risk Training” (https://renforce.projet.liris.cnrs.fr). One of the main objectives of the project is to understand how the visualization of behavioral and physiological indicators during and after the embodied experience in the VR environment can improve learner reflexivity to ensure the acquisition of behavioral skills. We aim to analyze multimodal data collected while experiencing virtual learning situations to identify and evaluate a set of relevant visual indicators both in the VR and in a debriefing environment.
The PhD student work will rely on an iterative process, by dealing first with the behavioral data collected through interaction traces and eye-tracking, and then the physiological basic indicators that will be produced using the sensors developed by the INL lab. The PhD student will conduct lab experiments to evaluate whether the visual indicators implemented in the VR environment provide a good balance between immersion and reflexivity; and how suggestive the experience needs to be in the debriefing environment to support reflexivity. Experiments in real-settings will also be conducted in an integrative perspective.
Contexte de travail
The PhD student will benefit from the strong expertise of the SICAL team in the analysis of users' behaviors from their interaction traces with interactive systems (Bouvier et al. 2014: Loup et al. 2016; Lavoué et al. 2021). A framework to aggregate and visualize multimodal data collected from a virtual environment (questionnaires, interaction traces, eye tracking) has already been developed, as well as XREcho (Villenave et al. 2022), a Unity package that allows for the recording and replaying of users' behaviors and interactions during VR sessions.
S/he will work in close collaboration with researchers of the LIRIS-ORIGAMI team who have expertise in virtual reality, visual perception and subjective quality evaluation; the INL lab who has an expertise in the development of wearable sensors for psycho-physiological evaluation in real-life situations; and the ECP lab who has expertise in embodied cognition and the evaluation of learning processes and environments.
Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.