Samuel Huron

Comparing bar chart authoring with Microsoft Excel and tangible tiles

Providing tools that make visualization authoring accessible to visualization non‐experts is a major research challenge. Currently the most common approach to generating a visualization is to use software that quickly and automatically produces visualizations based on templates. However, it has recently been suggested that constructing a visualization with tangible tiles may be a more accessible method, especially for people without visualization expertise. There is still much to be learned about the differences between these two visualization authoring practices. To better understand how people author visualizations in these two conditions, we ran a qualitative study comparing the use of software to the use of tangible tiles, for the creation of bar charts. Close observation of authoring activities showed how each of the following varied according to the tool used: 1) sequences of action; 2) distribution of time spent on different aspects of the InfoVis pipeline; 3) pipeline task separation; and 4) freedom to manipulate visual variables. From these observations, we discuss the implications of the variations in activity sequences, noting tool design considerations and pointing to future research questions.

Self-Reflection and Personal Physicalization Construction

Self-reflection is a central goal of personal informatics systems, and constructing visualizations from physical tokens has been found to help people reflect on data. However, so far, constructive physicalization has only been studied in lab environments with provided datasets. Our qualitative study investigates the construction of personal physicalizations in peoples domestic environments over 2-4 weeks. It contributes an understanding of (1) the process of creating personal physicalizations, (2) the types of personal insights facilitated, (3) the integration of self-reflection in the physicalization process, and (4) its benefits and challenges for self-reflection. We found that in constructive personal physicalization, data collection, construction and self-reflections are deeply intertwined. This extends previous models of visualization creation and data-driven self-reflection. We outline how benefits such as reflection through manual construction, personalization, and presence in everyday life can be transferred to a wider set of digital and physical systems.

Landscape, an energy consumption digital postcard

We present Landscape, a new visualization for representing energy consumption designed for non-expert users into their households. We identified 3 reasons which would explain their lack of interest: Complexity of the energy units, specifics domestic behaviors, unsuitable visualizations for non-expert users. We designed an app inspired by Postcards metaphor. Landscape represents synthetized and aesthetics dataset. This article introduces indicators design, metaphorical work and graphical representations.

Investigating the design space of smartwatches combining physical rotary inputs

Watches benefit from a long design history. Designers and engineers have successfully built devices using rotary physical inputs such as crowns, bezels, and wheels, separately or combined. Smart watch designers have explored the use of some of these inputs for interactions. However, a systematic exploration of their combinations has yet to be done. We investigate the design space of interactions with multiple rotary inputs through a three stages exploration. (1) We build upon observations of a collection of 113 traditional or electronic watches to propose a typology of physical rotary inputs for watches. (2) We conduct two focus groups to explore combination of physical rotary inputs. (3) We then build upon the output of these focus groups to design a low fidelity prototype, and further discuss the potential and challenges of rotary inputs combinations during a third focus group.

Pedagogy & Physicalization: Designing Learning Activities around Physical Data Representations

In an age where data and their various representations proliferates many aspects of our professional and private lives, a new form of awareness and visual literacy is required to interpret, critically discuss and actively engage in activities around data representation. Research has found Physicalization to be a productive way to introduce people to activities around data collection, processing, and representation -- be it to learn about the concepts of making abstract data graspable, or to learn about complex phenomena represented within the data. This full-day hands-on workshop will explore how designing and building Physicalizations can be a way to actively learn the principles of data representation. The aim of this workshop is to (1) discuss different learning scenarios in which Physicalization activities can be beneficial, (2) explore different approaches to introduce Physicalization activities to different learning audiences, and (3) to build a community interested in the pedagogy of Physicalization.