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公共卫生领域可视化实践的分类学研究:绘制公共卫生图景

Charting Public Health: A Taxonomic Study of Visualization Practices in the Public Health Field

Mia Hines, Alvitta Ottley

arXiv 2608.08657首次发表:更新:

AI 中文总结

本研究针对公共卫生领域未被充分研究的真实数据可视化设计实践,构建含4000余幅作品的语料库并分析其设计特征,助力改进相关传播工作。

AI 中文摘要

公共卫生机构定期制作并发布数据可视化作品,以提升对关键问题的认知、影响决策流程并促进整体健康福祉。然而,现实场景中塑造这些可视化作品的设计实践在很大程度上未被研究,这限制了研究界评估其有效性、可访问性及与传播目标契合度的能力。为填补这一空白,我们构建并分析了一个大规模语料库,包含来自美国及国际公共卫生机构的二十多个网站的4000余幅真实数据可视化作品。我们评估了图表类型、可视化可访问性、图标等装饰元素的使用、设计缺陷等显著设计特征。本研究有助于理解数据可视化设计中的实际决策,支持公共卫生官员改进与数据可视化相关的传播工作。最终语料库及标注数据集可在该https URL获取。

英文摘要

Public health organizations regularly produce and publish data visualizations to raise awareness of critical issues, influence decision-making processes, and promote overall well-being. However, the design practices shaping these visualizations in real-world settings remain largely unexamined, limiting the research community's ability to evaluate their effectiveness, accessibility, and alignment with communication goals. To address this gap, we construct and analyze a large-scale corpus of over 4,000 real-world data visualizations drawn from more than two dozen websites associated with U.S. and international public health organizations. We evaluate salient design characteristics like chart type, visualization accessibility, use of embellishments like iconography, and design flaws. This work contributes to understanding real-world decisions in designing data visualizations and supports public health officials in improving data visualization-related communications. Visualizations in our finalized corpus and the labeled dataset can be found at https://github.com/washuvis/ChartingPublicHealth.

论文原文

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