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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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Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations. / Sauvé, Kim; Ramirez Gomez, Argenis; Houben, Steven.

CHI'22: Conference on Human Factors in Computing Systems. New York : ACM, 2022. 82.

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

Harvard

Sauvé, K, Ramirez Gomez, A & Houben, S 2022, Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations. in CHI'22: Conference on Human Factors in Computing Systems., 82, ACM, New York, CHI 2022, 30/04/22. https://doi.org/10.1145/3491102.3501952

APA

Sauvé, K., Ramirez Gomez, A., & Houben, S. (2022). Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations. In CHI'22: Conference on Human Factors in Computing Systems [82] ACM. https://doi.org/10.1145/3491102.3501952

Vancouver

Sauvé K, Ramirez Gomez A, Houben S. Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations. In CHI'22: Conference on Human Factors in Computing Systems. New York: ACM. 2022. 82 https://doi.org/10.1145/3491102.3501952

Author

Sauvé, Kim ; Ramirez Gomez, Argenis ; Houben, Steven. / Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations. CHI'22: Conference on Human Factors in Computing Systems. New York : ACM, 2022.

Bibtex

@inproceedings{21ae7d11fd60455b870a931d3d040464,
title = "Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations",
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.",
keywords = "Data Physicalization, Physical Visualization, Data Labels, Constructive Visualization",
author = "Kim Sauv{\'e} and {Ramirez Gomez}, Argenis and Steven Houben",
note = "{\textcopyright} 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 ; CHI 2022 ; Conference date: 30-04-2022 Through 05-05-2022",
year = "2022",
month = may,
day = "5",
doi = "10.1145/3491102.3501952",
language = "English",
booktitle = "CHI'22: Conference on Human Factors in Computing Systems",
publisher = "ACM",
url = "https://chi2022.acm.org/",

}

RIS

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 -