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Ph.D de

Ph.D
Group : Human-Centered Computing

Augmented Reality Environments for the Interactive Exploration of 3D Data

Starts on 06/04/2020
Advisor : ISENBERG, Tobias

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

Defended on 16/12/2020, committee :
Rapporteurs :
- Raimund Dachselt, Professeur, Dresden University of Technology
- Christophe Hurter, Professeur, Ecole Nationale de l’Aviation Civile

Examinateurs :
- Jian Chen, Professeure Associée, Ohio State University - Examinatrice
- Damien Rohmer, Professeur,Ecole Polytechnique -
- Jeanne Vézien, Ingénieure de recherche, Université Paris-Saclay, CNRS, Limsi – Examinatrice

Directeur de thèse :
- Tobias Isenberg, Directeur de recherche, Université Paris-Saclay, CNRS, Inria, LRI

Co-encadrant
- Mehdi Ammi, Professeur, Université Pairs 8 –

Invité:
- David Rousseau, Directeur de recherche, Université Paris-Saclay, CNRS, IJCLab

Research activities :

Abstract :
We investigated a hybrid personal computer (PC) and augmented reality (AR) setup to bring immersive visualization to existing scientific workflows. We collaborated with particle physicists to understand their analysis needs and designed a prototype that treats the AR content as an extension of the PC. An initial observational study confirmed the benefits of the hybrid setting and validated its feasibility. We also found that the match of dimensionality between input and output devices is not critical for users’ performance, and that the mouse remains an efficient tool for high-accuracy 3D tasks. Both findings suggest that the mouse could be the primary input for the hybrid setting. Finally, to support walking around in AR, we proposed to add a mobile device to the hybrid setting and presented a pressure-augmented tactile 3D navigation technique to improve the accuracy.

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MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
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.