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Ph.D de

Ph.D
Group : Human-Centered Computing

From data exploration to presentation: designing new systems and interaction techniques to enhance the sense-making process

Starts on 01/06/2016
Advisor : PIETRIGA, Emmanuel

Funding : Convention industrielle de formation par la recherche
Affiliation : vide
Laboratory : LRI - HCC

Defended on 03/10/2019, committee :
Directeur de thèse :
- Emmanuel Pietriga, Directeur de Recherche, Inria Saclay

Co-directeur de thèse :
- Caroline Appert, Directeur de Recherche, CNRS

Rapporteurs :
- David Auber, Professeur, Université de Bordeaux
- Daniel Wigdor, Professeur, University of Toronto

Examinateurs :
- Jean-Daniel Fekete, Directeur de Recherche, Inria Saclay
- Uta Hinrichs, Professeur, University of St Andrews
- Stephane Huot, Directeur de Recherche, Inria Lille

Research activities :

Abstract :
During the last decade, the amount of data has been constantly increasing. These data can come from several sources such as smartphones, audio recorders, cameras, sensors, simulations, and can have various structure. While computers can help us process these data, human judgment and domain expertise is what turns the data into actual knowledge. However, making sense of this increasing amount of diverse data requires visualization and interaction techniques.This thesis contributes such techniques to facilitate data exploration and presentation, during sense-making activities.

We show in this thesis that the sense-making process can be enhanced in both processes of exploration and presentation, by using ink as a new medium to transition between exploration and externalization, and by following a flexible, iterative process to create expressive data representations.The resulting systems establish a research framework where presentation and exploration are a core part of visual data systems.

Ph.D. dissertations & Faculty habilitations
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CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


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.