Put a label on it! Approaches for constructing and contextualizing bar chart physicalizations

Kim Sauvé*, Argenis Ramirez Gomez, Steven Houben

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Physicalizations represent data through their tangible and material properties. In contrast to screen-based visualizations, there is currently very limited understanding of how to label or annotate physicalizations to support people in interpreting the data encoded by the physicalization. Because of its spatiality, contextualization through labeling or annotation is crucial to communicate data across different orientations. In this paper, we study labeling approaches as part of the overall construction process of bar chart physicalizations. We designed a toolkit of physical tokens and paper data labels and asked 16 participants to construct and contextualize their own data physicalizations. We found that (i) the construction and contextualization of physicalizations is a highly intertwined process, (ii) data labels are integrated with physical constructs in the final design, and (iii) these are both influenced by orientation changes. We contribute with an understanding of the role of data labeling in the creation and contextualization of physicalizations.
    Original languageEnglish
    Title of host publicationCHI '22: CHI Conference on Human Factors in Computing Systems
    EditorsSimone Barbosa, Cliff Lampe
    PublisherAssociation for Computing Machinery
    Number of pages15
    ISBN (Print)9781450391573
    DOIs
    Publication statusPublished - 28 Apr 2022
    EventCHI Conference on Human Factors in Computing Systems - New Orleans, United States
    Duration: 29 Apr 20225 May 2022
    https://chi2022.acm.org/

    Conference

    ConferenceCHI Conference on Human Factors in Computing Systems
    Abbreviated titleCHI '22
    Country/TerritoryUnited States
    CityNew Orleans
    Period29/04/225/05/22
    Internet address

    Keywords

    • data physicalization
    • physical visualization
    • data labels
    • constructive visualization

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