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Data-Painting: Expressive Free-Form Visualisation

    • Lancaster University
    • Simon Fraser University

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Data visualization can be powerful in enabling us to make sense of complex data. Expressive data representation – where individuals have control over the nature of the output – is hard to incorporate into existing frameworks and techniques for visualization. The power of informal, rough, expressive sketches in working out ideas is well documented. This points to an opportunity to better understand how expressivity can exist in data visualization creation. We explore the expressive potential of Data Painting through a study aimed at improving our understanding of what people need and make use of in creating novel examples of data expression. Participants use exact measures of paint for data-mapping and then explore the expressive possibilities of free-form data representation. Our intentions are to improve our understanding of expressivity in data visualization; to raise questions as to the creation and use of non-traditional data visualizations; and to suggest directions for expressivity in visualization.
    Original languageEnglish
    Title of host publicationProceedings of DRS2022
    Publication date2022
    DOIs
    Publication statusPublished - 2022
    EventInternational Conference on Design Research Society - Bilbao, Spain
    Duration: 25 Jun 20223 Jul 2022
    https://dl.designresearchsociety.org/drs-conference-papers/drs2022/researchpapers/38/

    Conference

    ConferenceInternational Conference on Design Research Society
    Country/TerritorySpain
    CityBilbao
    Period25/06/202203/07/2022
    Internet address

    Keywords

    • Data Visualization
    • Expressive Data Representation
    • Informal Sketches
    • Data Painting
    • Non-Traditional Visualizations

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