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Research results
Thesis in progress de

Thesis in progress
Group : Human-Centered Computing

Spatial consistency between real and virtual workspaces for individual and collaborative tasks in virtual environments

Starts on 01/10/2017
Advisor : FLEURY, Cédric

Funding : Contrat doctoral uniquement recherche
Affiliation : Université Paris-Saclay
Laboratory : LRI - HCC

Defended on 16/12/2021, committee :
Directeur de thèse :
- Patrick Bourdot, Directeur de recherche, Université Paris-Saclay, GS Informatique et science du numérique, France

Co-directeur de thèse :
- Cédric Fleury, Maître de conférences, Université Paris-Saclay, GS Informatique et science du numérique, France

Rapporteurs :
- Victoria Interrante, Professor, University of Minnesota, United States
- Thierry Duval, Professeur, IMT Atlantique, Bretagne-Pays de la Loire, France

Examinateurs :
- Daniel Mestre, Directeur de recherche, Université Aix-Marseille, France
- Weiya Chen, Assistant professor, Huazhong University of Science and Technology, China
- Ferran Argelaguet, Chargé de recherche, Hybrid team, Rennes, France
- Nicolas Sabouret, Professeur, Université Paris-Saclay, GS Informatique et science du numérique, France

Research activities :

Abstract :
A number of virtual reality (VR) applications rely on a one-to-one mapping of the user's position between real and virtual environments. This spatial consistency is mandatory for maximizing the virtual workspace accessible by physical movements in the real world. It is also required for tangible interaction and co-located interaction in complex collaborative tasks. However, the user's individual navigation may break the spatial consistency. To prevent this issue, navigation in large-scale virtual environments is usually excluded, and use-case scenarios are divided into a set of virtual experiences.

The research focus of this Ph.D. thesis is to allow users to explore a large-scale virtual environment and recover spatial consistency in some appropriate areas of the virtual environment when necessary to complete the task. The main contribution is a general solution to recover spatial consistency for teleportation. This navigation technique is one of the most commonly used in VR applications, and it has been shown that its instant transition displacement principle reduces simulator sickness. My dissertation explores different techniques to recover spatial consistency in several VR systems (CAVE vs. HMD) and interactive contexts (individual interaction, tangible situation, and co-localized collaboration). It also presents experimental results that validate these techniques. First, I studied two interactive techniques that can help users to maximize the use of their physical workspace within specific areas of the virtual environment predefined by application designers. These techniques are suitable for virtual reality systems with previously known shapes and sizes, such as CAVE-like systems. Then, I proposed two more generic solutions for a wider range of VR systems, including HMDs. Conversely to the prior approach, these solutions allow users to position their physical workspace in the virtual environment. Next, I investigated how to recover the spatial consistency by aligning the position of a real-world object with its virtual counterpart during teleportation, in order to allow a tangible interaction with this object. Finally, I designed two strategies to allow pairs of users to manage and recover the spatial consistency for co-located interaction in complex collaborative tasks.

Ph.D. dissertations & Faculty habilitations


The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.