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

Ph.D
Group : Human-Centered Computing

Interactive Prototyping of Interactions: From Throwaway Prototypes to Takeaway Prototyping

Starts on 01/10/2015
Advisor : BEAUDOUIN-LAFON, Michel

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

Defended on 12/12/2018, committee :
Directeur de these :
- Michel BEAUDOUIN-LAFON, Université Paris-Sud.

Rapporteurs:
- Björn HARTMANN, UC Berkeley;
- Nicolai MARQUARDT, UCL Interaction Centre.

Examinateurs :
- Jan BORCHERS, RWTH Aachen University;
- Fanny CHEVALIER, University of Toronto;
- Jean-Daniel FEKETE, INRIA Saclay.

Research activities :

Abstract :
Interaction designers rely on rapid prototyping to explore ideas with throwaway artifacts. I argue that novel rapid prototyping tools can be built to effectively support disposable as well as reusable artifacts for sketching interactive behaviors. I present two new tools for video prototyping -VideoClipper and Montage-, a classification of the most common problems during designer-developer collaboration, and four principles to mitigate them. I applied these principles to create a novel collaborative prototyping tool called Enact. Results suggest that Enact helps participants detect more edge cases, increases designers' participation and provides new opportunities for co-creation. Then, I reflect on the underlying theoretical principles of the three tools: reification, polymorphism, reuse and information substrates. Finally, I present Takeaway Prototyping, a new prototyping approach focused on bringing iterative prototyping to early-stage design.

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.