HAN Han
Ph.D
Group : Human-Centered Computing

Designing Representations for Digital Documents

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

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

Defended on 30/03/2022, committee :

Research activities :

Abstract :
Documents are not dead.
Millions of users work with documents for their everyday tasks but their user interfaces have not fundamentally changed in the last 40 years.
In this thesis, I explore three main document-related activities: editing, analysis and management.
I study the “extreme users” of each activity and design new representations to support their work.
Reflecting on my experience, I propose three design principles that offer interaction designers a new perspective to create effective representations.
I argue that we should not accept current desktop interfaces as given, and that by taking on a principled and theory-driven perspective we can continue to innovate.

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.