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Faculty habilitation de

Faculty habilitation
Group : Parallel Architecture

Contributions à l'optimisation des programmes de haut niveau

Starts on
Advisor :

Funding :
Affiliation : Université Paris-Saclay
Laboratory : LRI-ARCHI

Defended on 12/12/2012, committee :
François Bodin, CAPS Entreprise, Rapporteur
François Irigoin, Mines ParisTech, Rapporteur
Sanjay Rajopadhye, Colorado State University, Rapporteur
Pierre Boulet, Université de Lille, Examinateur
Philippe Clauss, Université de Strasbourg, Examinateur
Albert Cohen, INRIA Rocquencourt, Examinateur
Daniel Étiemble, Université Paris-Sud, Examinateur

Research activities :

Abstract :


Ph.D. dissertations & Faculty habilitations
CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


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.