Browsing by Author "Huron, Samuel"
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- ItemMetadata onlyAn Exploratory Study of Data Sketching for Visual Representation(The Eurographics Association and John Wiley & Sons Ltd., 2015) Walny, Jagoda; Huron, Samuel; Carpendale, Sheelagh
- ItemOpen AccessInput Visualization: Collecting and Modifying Data with Visual Representations(ACM, 2024-05-11) Bressa, Nathalie; Louis, Jordan; Willett, Wesley; Huron, SamuelWe examine input visualizations, visual representations that are designed to collect (and represent) new data rather than encode preexisting datasets. Information visualization is commonly used to reveal insights and stories within existing data. As a result, most contemporary visualization approaches assume existing datasets as the starting point for design, through which that data is mapped to visual encodings. Meanwhile, the implications of visualizations as inputs and as data sources have received little attention—despite the existence of visual and physical examples stretching back centuries. In this paper, we present a design space of 50 input visualizations analyzing their visual representation, data, artifact, context, and input. Based on this, we identify input modalities, purposes of input visualizations, and a set of design considerations. Finally, we discuss the relationship between input visualization and traditional visualization design and suggest opportunities for future research to better understand these visual representations and their potential.
- ItemOpen AccessVisualizations as Data Input?(2021-10-01) Huron, Samuel; Willett, WesleyWe examine “input visualizations”, visual representations that are designed to collect (and represent) new data rather than encode pre-existing datasets. Information visualization is commonly used to reveal insights and stories within existing data. As a result, most contemporary visualization approaches assume existing datasets or data structures as the starting point for design, through which that data will be mapped to visual encodings to produce final visualizations. Meanwhile, the implications of visualizations as inputs and as data sources have received extremely little attention—despite the existence of visual and physical examples stretching back centuries—and the benefits, trades-offs, design patterns, and even the language necessary to describe them remain unexplored. In this paper we argue for the deeper examination of input visualizations, highlighting a set of recent examples and introducing vocabulary for characterizing them. Finally, we present a series of provocations which examine some of the challenges posed by input visualizations and suggest opportunities for better understanding this type of visual representations and their potential.