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Ph.D de

Group : Human-Centered Computing

Embodied Interaction for Data Manipulation Tasks on Wall-sized Displays

Starts on 01/10/2012
Advisor : BEAUDOUIN-LAFON, Michel
[Olivier CHAPUIS]

Funding : Contrat doctoral organisme (EPST, EPA ayant une mission d'enseignement supérieur)
Affiliation : Université Paris-Saclay
Laboratory : LRI-INSITU

Defended on 17/12/2015, committee :
Directeur de thèse :
M. Michel BEAUDOUIN-LAFON, Professeur, Univ Paris Sud

Co-directeurs de thèse :
M. Olivier CHAPUIS, Chargé de Recherche, CNRS
M. Eric LECOLINET, Maître de Conférences, Telecom ParisTech

M. Albrecht SCHMIDT, Professor, University of Stuttgart
M. Laurent GRISONI, Professeur, University of Lille 1

Examinateurs :
Mme Joanna MCGRENERE, Professor, University of British Columbia
M. Jean-Claude MARTIN, Professeur, Univ Paris Sud
M. Nicolai MARQUARDT, Assistant Professor, University College London

Research activities :

Abstract :
Large data sets are increasingly used in various professional domains. This raises challenges in managing and using them for sense-making, searching and classification tasks. Not only does big data require advanced algorithms to process the data, it also needs users' judgment to correct and interpret it. This dissertation explores the use of large, high-resolution wall-sized displays, which can display large amounts of information, to support user interaction with large data sets. It contributes with novel insights on the interactive phenomena found in this context through laboratory experiments, as well as with the design and prototyping of novel interaction techniques for supporting collaboration.

I begin with discussing the user needs for data manipulation with large data sets, as uncovered from interviews with and observations of real users. Then I introduce a series of controlled experiments that study user interaction with large wall-sized displays, in both single-user and collaborative situations. The first experiment shows that physical navigation in front of a large display outperforms virtual navigation on a desktop monitor, because large displays leverage users' whole-body skills to navigate and manipulate data. Another experiment shows benefits of an interaction technique that combines multiple users' actions to issue a command, and provides insights on different collaboration styles.

Based on the empirical insights, I then demonstrate my design of new interaction techniques to explore embodied interaction that leverages users' the physical and social skills in a co-located environment to carry out tasks with the "computer". Two prototypes are built to facilitate data manipulation and exchange between co-workers in various collaborative situations. I show the techniques and findings from preliminary evaluation, discuss the perspectives and directions for future work.

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.