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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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations
AU - Sauvé, Kim
AU - Ramirez Gomez, Argenis
AU - Houben, Steven
N1 - © 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
PY - 2022/5/5
Y1 - 2022/5/5
N2 - 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.
AB - 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.
KW - Data Physicalization
KW - Physical Visualization
KW - Data Labels
KW - Constructive Visualization
U2 - 10.1145/3491102.3501952
DO - 10.1145/3491102.3501952
M3 - Conference contribution/Paper
BT - CHI'22: Conference on Human Factors in Computing Systems
PB - ACM
CY - New York
T2 - CHI 2022
Y2 - 30 April 2022 through 5 May 2022
ER -