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

要旨

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.

著者
Kim Sauvé
Lancaster University, Lancaster, United Kingdom
Argenis Ramirez Gomez
University of Portsmouth, Portsmouth, United Kingdom
Steven Houben
Eindhoven University of Technology, Eindhoven, Netherlands
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501952

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Vis Right Here, Right Now

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5 件の発表
2022-05-03 23:15:00
2022-05-04 00:30:00