Edo: A Participatory Data Physicalization on the Climate Impact of Dietary Choices

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Abstract

Aparticipatory data physicalization, or PDP, is a physical visualization that allows people to physically participate in the creation of the visualization, by directly encoding their data. PDPs offer a way to engage a community with data of personal relevance that otherwise would be intangible. However, their design space has only begun to be explored, and most prior work shows relatively simple encoding rules. Therefore, we present a design exploration of different ways of faceting contributed data: by week, day, or person. Specifically, we designed Edo, a PDP that allows a small community to contribute their data to a physical visualization showing the climate impact of their dietary choices. In this pictorial, we elaborate on the design process of Edo and reflect on the findings of a three-week deployment of different layouts of Edo. Fabrication instructions and data are available under CC-BY 4.0 at osf.io/q5fr6.

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APA

Sauvé, K., Dragicevic, P., & Jansen, Y. (2023). Edo: A Participatory Data Physicalization on the Climate Impact of Dietary Choices. In ACM International Conference Proceeding Series. Association for Computing Machinery. https://doi.org/10.1145/3569009.3572807

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