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Participatory Data Physicalization: A New Space to Inform

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Proceedings of the 2nd International and Interdisciplinary Conference on Image and Imagination (IMG 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1140))

Abstract

The paper proposes a reflection on how to analyze, assess and design Participatory Data Physicalization (PDP) by taking into consideration a PDP project designed by one of the authors of the paper and commissioned by Prevention For You, a startup specialized in prevention education. For Data Physicalization we intend the translation of data into tangible and, in any case, perceptible-with-senses-other-than-vision artifacts. Data Physicalization allows for an engagement of the recipient of information which differ from that of Data Visualization. By exploiting and exploring these different forms of engagement, which often entail the involvement of the entire body, Data Physicalization can give way to artifacts that dispose and afford participation. PDP can be then a way to promote participation and to democratize data beyond a broader diffusion and deeper understanding of information. The paper discusses all these issues by taking into account the PDP project “KnowAndBe.live – more knowledge, less fear” about cancer awareness.

The present paper is a totally collaborative effort from the two authors. If, however, for academic reasons individual responsibility is to be assigned, Matteo Moretti has written § 1; § 2; § 4.1; § 4.2; § 3.2; § 5; Alvise Mattozzi § 3; § 4.3; § 6; § 7.

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Change history

  • 03 July 2020

    In the original version of the book, the following belated correction has been incorporated: The abstract has been revised in Chapter 86.

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Correspondence to Matteo Moretti or Alvise Mattozzi .

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Moretti, M., Mattozzi, A. (2020). Participatory Data Physicalization: A New Space to Inform. In: Cicalò, E. (eds) Proceedings of the 2nd International and Interdisciplinary Conference on Image and Imagination. IMG 2019. Advances in Intelligent Systems and Computing, vol 1140. Springer, Cham. https://doi.org/10.1007/978-3-030-41018-6_86

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  • DOI: https://doi.org/10.1007/978-3-030-41018-6_86

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