论文标题
代表边缘化人群:人类人类的挑战
Representing Marginalized Populations: Challenges in Anthropographics
论文作者
论文摘要
人类编码是人类形状的可视化,主要用于可视化研究和数据新闻业,以显示人道主义和人口统计数据。但是,人类图通常是由一小群设计师,研究人员和记者制作的,大多数人使用边缘化人群的同质表示,这些表示可能对观众如何看待他们所代表的人有问题。在本文中,我们使用关键镜头检查有关边缘化人群的项目中的人类图可视化实践。我们提出批评,这些批评确定了与人类人类使用者的使用有关的三个潜在挑战,并突出了可能的意外后果(1)创建对边缘化人群的同质描述,(2)将边缘化视为包容性标准,以及(3)对Marginalization的上下文化数据集不足。最后,我们重点介绍了人类研究研究的机会,包括需要开发来代表边缘人群之间人口统计学差异的技术以及探索人类人类学的其他潜在影响的研究。
Anthropographics are human-shaped visualizations that have primarily been used within visualization research and data journalism to show humanitarian and demographic data. However, anthropographics have typically been produced by a small group of designers, researchers, and journalists, and most use homogeneous representations of marginalized populations-representations that might have problematic implications for how viewers perceive the people they represent. In this paper, we use a critical lens to examine anthropographic visualization practices in projects about marginalized populations. We present critiques that identify three potential challenges related to the use of anthropographics and highlight possible unintended consequences-namely (1) creating homogeneous depictions of marginalized populations, (2) treating marginalization as an inclusion criteria, and (3) insufficiently contextualizing datasets about marginalization. Finally, we highlight opportunities for anthropographics research, including the need to develop techniques for representing demographic differences between marginalized populations and for studies exploring other potential effects of anthropographics.