Titre / Title: Multi-platform interactive digital twins for better data intelligibility and collaborative decision support
Projet Ciblé (PC) / Targeted Project (PC): PC1 CATS – Collaboration spaces / Collaboration across heterogeneous spaces
Commentaires / Comments:
Etat du sujet / State of the subject: Disponible / Available
Date de publication / Publication date: 08/04/2025
Institution de rattachement / Institutional affiliation: Ecole Nationale Supérieure d’Arts et Métiers (ENSAM)
Résumé / Abstract: This thesis aims to design and evaluate ergonomic and interactive interfaces for Digital Twins (DT) to enhance the intelligibility of the complex data they provide and facilitate decision-making, particularly in a collaborative context. Building on the advancements of the CNRS@CREATE DesCartes project on urban digital twins (DesCartes Program – Francisco Chinesta: “Nous débutons les démonstrateurs du programme DesCartes” – CNRS@CREATE) and integrating into the ITTAI alliance for resilient territories, this research project will examine the contribution of interactivity compared to static visualizations and will compare the impact of different media (virtual reality, augmented reality, traditional screens, etc.) on the understanding of the information provided by a digital twin. A particular focus will be placed on user collaboration around the digital twin, assessing how a shared virtual environment can support collective decision-making. Finally, a specific innovative feature aimed at increasing the effectiveness of the digital twin will be defined and integrated during the thesis (e.g., an intelligent analysis assistant or an additional interactive simulation tool).
The candidate, with a background in cognitive psychology, will be based at LAMPA in Laval and co-supervised by experts in numerical modeling (CNRS, PIMM) and virtual reality (LAMPA), ensuring an interdisciplinary approach. This project is positioned at the heart of the PEPR eNSEMBLE program (Future of Digital Collaboration), exploring new forms of immersive digital collaboration to improve the understanding and use of complex data, thereby contributing to the redefinition of tomorrow’s collaborative tools, notably in augmented engineering applications.
Détails du sujet / Subject details: PDF
Directeur / directrice de thèse / Main advisor: Francisco Chinesta (francisco.chinesta@ensam.eu) – PIMM
Encadrant(e) de thèse / Secondary advisor: Beatriz Moya (beatriz.moya_garcia@ensam.eu) – PIMM
Autre Encadrant(e) de thèse / Additional advisor: Sylvain Fleury (sylvain.fleury@ensam.eu) – LAMPA
Pour faire acte de candidature sur ce sujet, veuillez écrire aux auteurs directement / To apply on this subject, please write directly to the authors.