江户:饮食选择对气候影响的参与性数据物质化

Kim Sauvé, Pierre Dragicevic, Yvonne Jansen
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引用次数: 0

摘要

参与式数据物理化(PDP)是一种物理可视化,它允许人们通过直接编码他们的数据来物理地参与可视化的创建。pdp提供了一种与个人相关的数据参与社区的方式,否则这些数据是无形的。然而,他们的设计空间才刚刚开始探索,大多数先前的工作显示相对简单的编码规则。因此,我们提出了对不同方式的设计探索:按周、按天或按人。具体来说,我们设计了Edo,这是一个PDP,允许一个小社区将他们的数据贡献给一个物理可视化,显示他们的饮食选择对气候的影响。在这幅画报中,我们详细阐述了江户的设计过程,并反思了为期三周的江户不同布局部署的结果。制作说明和数据可在osf.io/q5fr6的CC-BY 4.0下获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edo: A Participatory Data Physicalization on the Climate Impact of Dietary Choices
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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