Français Anglais
Accueil Annuaire Plan du site
Home > Research results > Dissertations & habilitations
Research results
Ph.D de

Ph.D
Group : Human-Centered Computing

Theoretical Bases of Human Tool Use in Digital Environments

Starts on 01/10/2018
Advisor : BEAUDOUIN-LAFON, Michel

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

Defended on 12/04/2022, committee :
Président :
- Jean-Daniel FEKETE, Directeur de recherche, Inria

Rapporteurs :
- Stéphane CONVERSY, Professeur, École Nationale d’Aviation Civile
- Yvonne ROGERS, Professor, University College London

Examinateur :
- Eric LECOLINET, Professeur, Télécom Paris

Directeur de thèse :
- Michel BEAUDOUIN-LAFON, Professeur, Université Paris-Saclay

Co-encadrant de thèse
- Baptiste CARAMIAUX, Chargé de recherche, CNRS

Research activities :

Abstract :
This thesis takes place in the context of the ERC Advanced Grant “ONE - Unified Principles of Interaction”, whose goal is to fundamentally re-think the basic principles and conceptual model of interactive systems to empower users by letting them appropriate their digital environment.
The project is based on the idea of leveraging our skills in interacting with the physical world to make digital environments easier to understand and more powerful. In particular we use tools to interact with our physical environment and we actively create new tools or appropriate existing objects as tools when needed. Can we do the same thing with digital environments?
The thesis will build upon our existing understanding of interaction and human tool use from psychology and the social sciences to conduct empirical studies testing the applicability of this knowledge to interacting with digital information. This will form a theoretical basis for the conceptual models that we seek to develop in other parts of the project. According to the results of the empirical studies, the thesis will also include the design and implementation of new conceptual ideas for tool-based interfaces.

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.