Showing Data About People: A Design Space of Anthropographics
Showing Data About People: A Design Space of Anthropographics
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显示有关人的数据：人类学的设计空间
DOI：
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发表时间：
2020
影响因子：
5.2
通讯作者：
Pierre Dragicevic
中科院分区：
文献类型：
--
作者：
Luiz Morais;Yvonne Jansen;N. Andrade;Pierre Dragicevic
在展示关于人的数据时，可视化设计师和数据记者经常使用设计策略，这些策略可能有助于受众与这些人建立联系。最近，人们创造了术语“图形学”来指代这种实践和由此产生的可视化。人类学是一个丰富和不断发展的领域，但迄今为止的工作仍然分散。尽管有初步的实证工作和一些从业者撰写的网络文章，但缺乏清晰的语言来思考和交流图形。我们通过引入一个概念框架和一个图形设计空间来解决这个问题。我们的设计空间由七个基本的设计维度组成，可以合理地假设这些维度对亲社会的感觉或行为有一定的影响。它扩展了以前的设计空间，并通过分析从报纸，网站和研究文章中收集的105个可视化信息。我们使用我们的概念框架和设计空间来讨论权衡，共同的设计策略，以及未来的机会，设计和研究领域的图形。
When showing data about people, visualization designers and data journalists often use design strategies that presumably help the audience relate to those people. The term anthropographics has been recently coined to refer to this practice and the resulting visualizations. Anthropographics is a rich and growing area, but the work so far has remained scattered. Despite preliminary empirical work and a few web essays written by practitioners, there is a lack of clear language for thinking about and communicating about anthropographics. We address this gap by introducing a conceptual framework and a design space for anthropographics. Our design space consists of seven elementary design dimensions that can be reasonably hypothesized to have some effect on prosocial feelings or behavior. It extends a previous design space and is informed by an analysis of 105 visualizations collected from newspapers, websites, and research articles. We use our conceptual framework and design space to discuss trade-offs, common design strategies, as well as future opportunities for design and research in the area of anthropographics.
DOI：
10.1177/0038038516674675
发表时间：
2018-08-01
影响因子：
2.9
作者：
Kennedy, Helen;Hill, Rosemary Lucy
通讯作者：
Hill, Rosemary Lucy
同情心：进化分析和实证回顾。
影响因子：
22.4
作者：
Goetz, Jennifer L.;Keltner, Dacher;Simon-Thomas, Emiliana
通讯作者：
Simon-Thomas, Emiliana