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Ph.D de

Ph.D
Group : Human-Centered Computing

Utilisation collaborative d'un mur d'écran en contexte critique

Starts on 01/10/2014
Advisor : CHAPUIS, Olivier

Funding : contrat doctoral du Ministère
Affiliation : Université Paris-Saclay
Laboratory : LRI - HCC

Defended on 15/12/2017, committee :
Directeur de thèse :
- M. Olivier Chapuis, Chargé de Recherche, CNRS

Co-encadrante de thèse :
- Mme Anastasia Bezerianos, Maître de Conférence, Université Paris-Sud

Rapporteurs :
- M. Stéphane Conversy, Professeur, ENAC
- M. Raimund Dachselt, Professeur, Technische Universität Dresden

Examinateurs :
- M. Edward Lank, Professeur associé, University of Waterloo
- M. Jean-Daniel Fekete, Directeur de Recherche, Inria

Research activities :

Abstract :
In this thesis, I study the benefits of collaboration using an Ultra-High Resolution Interactive Wall Display (UHRWD). I focus on the specific collaborative context of control rooms. Visits of control rooms and interviews with operators show that different degrees of collaboration are required in function of the situation. I believe that a UHRIWD could be beneficial in situations when close collaboration is needed. I first show that wall display encourages close collaboration compared to multiple separate displays. Then I show that the interaction techniques can also influence the degree of collaboration, for instance, a technique with a large visual footprint also encourages a close collaboration. I apply this in the design of technique to visualize road traffic forecast on a wall display for road traffic control centres. Finally, I propose techniques to help the transition between the different setups of a control room: the workstations and the wall display.

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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.