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  • PutaLabelOnIt

    Rights statement: © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems https://dl.acm.org/doi/abs/10.1145/3491102.3501952

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Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Publication date5/05/2022
Host publicationCHI'22: Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM
Number of pages15
ISBN (Electronic)9781450391573
<mark>Original language</mark>English
EventCHI 2022 -
Duration: 30/04/20225/05/2022
https://chi2022.acm.org/

Conference

ConferenceCHI 2022
Period30/04/225/05/22
Internet address

Conference

ConferenceCHI 2022
Period30/04/225/05/22
Internet address

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 fnal design, and (iii) these are both infuenced by orientation changes. We contribute with an understanding of the role of data labeling in the creation and contextualization of physicalizations.

Bibliographic note

© ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems https://dl.acm.org/doi/abs/10.1145/3491102.3501952