Supporting the Design and Fabrication of Physical Visualizations

Saiganesh Swaminathan 1 Conglei Shi 2 Yvonne Jansen 1 Pierre Dragicevic 1 Lora Oehlberg 3 Jean-Daniel Fekete 1
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
3 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Physical visualizations come in increasingly diverse forms, and are used in domains including art and entertainment, business analytics, and scientific research. However, creating physical visualizations requires laborious craftsmanship and demands expertise in both data visualization and digital fabrication. We present three case studies that illustrate limitations of current visualization fabrication workflows. We then present MakerVis, a prototype tool that integrates the entire process of creating physical visualizations, from data filtering to physical fabrication. Design sessions with three end users demonstrate how tools such as MakerVis can dramatically lower the barriers to producing physical visualizations. Observations and interviews from these sessions highlighted future research areas, including customization support, using material properties to represent data variables, and allowing the reuse of physical data objects in new visualizations.
Type de document :
Communication dans un congrès
Proceedings of the 2014 Annual Conference on Human Factors in Computing Systems (CHI 2014), Apr 2014, Toronto, ON, Canada. pp.3845--3854, 2014, <10.1145/2556288.2557310>
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https://hal.inria.fr/hal-00935978
Contributeur : Yvonne Jansen <>
Soumis le : dimanche 20 avril 2014 - 16:43:04
Dernière modification le : jeudi 9 février 2017 - 15:53:38
Document(s) archivé(s) le : samedi 8 avril 2017 - 23:26:16

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Saiganesh Swaminathan, Conglei Shi, Yvonne Jansen, Pierre Dragicevic, Lora Oehlberg, et al.. Supporting the Design and Fabrication of Physical Visualizations. Proceedings of the 2014 Annual Conference on Human Factors in Computing Systems (CHI 2014), Apr 2014, Toronto, ON, Canada. pp.3845--3854, 2014, <10.1145/2556288.2557310>. <hal-00935978>

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