Faculty habilitation
Group : Human-Centered Computing

'Designeering Interaction': A Missing Link in the Evolution of Human-Computer Interaction

Starts on
Advisor :

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

Defended on 07/05/2013, committee :

Research activities :
   - Multi-Surfaces Interaction
   - Human-Computer Interaction

Abstract :
Human Computer Interaction (HCI) is a fascinating research field because of its multidisciplinary nature, combining such diverse research domains as design, human factors and computer science as well as a variety of methods including empirical and theoretical research. HCI is also fascinating because it is still young and so much is left to discover, invent and understand. The evolution of computers, and more generally of interactive systems, is not frozen, and so are the ways in which we interact with them. From desktop computers, to mobile devices, to large displays or multi-surface environments, technology extends the possibles, needs initiate technologies, and HCI is thus a constantly moving field. The variety of challenges to address, as well as their underlying combinations of sub-domains (design, computer science, experimental psychology, sociology, etc.), imply that we should also adapt, question and sometimes reinvent our research methods and processes, pushing the limits of HCI research further. Since I entered the field 12 years ago, my research activities have essentially revolved around two main themes: the design, implementation and evaluation of novel interaction techniques (on desktop computers, mobile devices and multi-surface environments) and the engineering of interactive systems (models and toolkits for advanced input and interaction). Over time, I realized that I had entered a loop between these two concerns, going back and forth between designing and evaluating new interaction techniques, and defining and implementing new software architectures or toolkits. I observed that they strongly influence each other: The design of interaction techniques informs on the capabilities and limitations of the platform and the software being used, and new architectures and software tools open the way to new designs and possibilities. Through the discussion of several of my research contributions in these fields, this document investigates how interaction design challenges technology, and how technology - or engineering of interactive systems - could support and unleash interaction design. These observations will lead to a first definition of the "Designeering Interaction" conceptual framework that encompasses the specificities of these two fields and builds a bridge between them, paving the way to new research perspectives. In particular, I will discuss which types of tools, from the system level to the end user, should be designed, implemented and studied in order to better support interaction design along the evolution of interactive systems. At a more general level, Designeering Interaction is also a contribution that, I hope, will help better "understand how HCI works with technology".

More information: http://tel.archives-ouvertes.fr/tel-00823763

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.