Ph.D
Group : Human-Centered Computing

A Body-centric Framework for Generating and Evaluating Novel Interaction Techniques

Starts on 01/10/2009
Advisor : MACKAY, Wendy
[Stéphane HUOT]

Funding :
Affiliation : Université Paris-Saclay
Laboratory : LRI IN-SITU

Defended on 05/12/2012, committee :

Research activities :

Abstract :
This thesis introduces BodyScape, a body-centric framework that accounts for how users coordinate their movements within and across their own limbs in order to interact with a wide range of devices, across multiple surfaces. It introduces a graphical notation that describes interaction techniques in terms of (1) motor assemblies responsible for performing a control task (input motor assembly) or bringing the body into a position to visually perceive output (output motor assembly), and (2) the movement coordination of motor assemblies, relative to the body or fixed in the world, with respect to the interactive environment.
This thesis applies BodyScape to 1) investigate the role of support in a set of novel bimanual interaction techniques for hand-held devices, 2) analyze the competing effect across multiple input movements, and 3) compare twelve pan-and-zoom techniques on a wall-sized display to determine the roles of guidance and interference on performance.
Using BodyScape to characterize interaction clarifies the role of device support on the user’s bal- ance and subsequent comfort and performance. It allows designers to identify situations in which multiple body movements interfere with each other, with a corresponding decrease in performance. Finally, it highlights the trade-offs among different combinations of techniques, enabling the analysis and generation of a variety of multi-surface interaction techniques. I argue that including a body-centric perspective when defining interaction techniques is essential for addressing the combinatorial explosion of interactive devices in multi-surface environments.

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.