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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