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.

中文翻译：

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显示有关人的数据：人类学的设计空间


在显示有关人员的数据时，可视化设计师和数据记者经常使用设计策略来帮助观众与这些人建立联系。最近创造了“人类学”一词来指代这种实践和由此产生的可视化。人类学是一个丰富且不断发展的领域，但迄今为止的工作仍然分散。尽管进行了初步的实证工作和从业者撰写的一些网络文章，但仍缺乏清晰的语言来思考和交流人类学。我们通过引入人类学的概念框架和设计空间来解决这一差距。我们的设计空间由七个基本设计维度组成，可以合理地假设这些维度对亲社会感受或行为产生一些影响。它扩展了之前的设计空间，并通过对从报纸、网站和研究文章中收集的 105 个可视化效果进行分析得出结论。我们利用概念框架和设计空间来讨论权衡、通用设计策略以及人类学领域设计和研究的未来机会。