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 '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems https://doi.org/10.1145/3411764.3445746
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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
}
TY - GEN
T1 - Reconfiguration Strategies with Composite Data Physicalizations
AU - Sauvé, Kim
AU - Verweij, David
AU - Alexander, Jason
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 '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems https://doi.org/10.1145/3411764.3445746
PY - 2021/6/13
Y1 - 2021/6/13
N2 - Composite data physicalizations allow for the physical reconfiguration of data points, creating new opportunities for interaction and engagement. However, there is a lack of understanding of people's strategies and behaviors when directly manipulating physical data objects. In this paper, we systematically characterize different reconfiguration strategies using six exemplar physicalizations. We asked 20 participants to reorganize these exemplars with two levels of restriction: changing a single data object versus changing multiple data objects. Our findings show that there were two main reconfiguration strategies used: changes in proximity and changes in atomic orientation. We further characterize these using concrete examples of participant actions in relation to the structure of the physicalizations. We contribute an overview of reconfiguration strategies, which informs the design of future manually reconfigurable and dynamic composite physicalizations.
AB - Composite data physicalizations allow for the physical reconfiguration of data points, creating new opportunities for interaction and engagement. However, there is a lack of understanding of people's strategies and behaviors when directly manipulating physical data objects. In this paper, we systematically characterize different reconfiguration strategies using six exemplar physicalizations. We asked 20 participants to reorganize these exemplars with two levels of restriction: changing a single data object versus changing multiple data objects. Our findings show that there were two main reconfiguration strategies used: changes in proximity and changes in atomic orientation. We further characterize these using concrete examples of participant actions in relation to the structure of the physicalizations. We contribute an overview of reconfiguration strategies, which informs the design of future manually reconfigurable and dynamic composite physicalizations.
KW - Data Physicalization
KW - Physical Visualization
KW - Composite Data Physicalization
KW - Reconfiguration
U2 - 10.1145/3411764.3445746
DO - 10.1145/3411764.3445746
M3 - Conference contribution/Paper
BT - CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - ACM
CY - New York
T2 - Proceedings of the 2021 ACM Conference on Human Factors in Computing Systems<br/>
Y2 - 8 May 2021 through 13 May 2021
ER -