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实践中的数据可视化风格指南:它们为何产生、如何运作以及何时灵活变通

Data Visualization Style Guides in Practice: Why They Emerge, How They Work, and When They Bend

Alvitta Ottley, Jonathan Schwabish

arXiv 2607.29645首次发表:更新:

AI 中文总结

本研究通过访谈分析多领域风格指南作者,提出PRISM社会技术框架,揭示可视化风格指南的运作逻辑与张力,为关键环境中相关人员提供实践见解。

AI 中文摘要

可视化风格指南在塑造数据的解读与可信度方面发挥着关键作用,但其创建与使用往往缺乏足够审视。要理解其影响,需超越指南规定的具体规则,考察它们在组织内部如何协调可视化工作、权衡利弊以及在实际约束下支撑决策。我们对新闻业、政府、企业及公共部门的26份风格指南的9位作者展开访谈分析,揭示这些指南如何反映所在组织的特定挑战,包括一致性、培训、治理与问责制。本研究凸显了标准化与灵活性、指导与自主裁量、自动化与人工监督之间的张力。我们提出PRISM这一社会技术框架,该框架从目的、规则与机制、制度执行者及情境灵活性四个维度对可视化风格指南进行刻画。研究表明,公开可用的风格指南仅呈现了该系统的一部分。将风格指南视为社会技术系统,可丰富设计指导相关研究,并为在关键环境中创建和依赖这些指南的人员提供实践见解。

英文摘要

Visualization style guides play a crucial role in shaping how data is interpreted and trusted, yet they often receive little scrutiny in their creation and use. Understanding their impact requires looking beyond the specific rules that style guides prescribe and examining how they function within organizations to coordinate visual work, manage trade-offs, and support judgment under real constraints. Analyzing interviews with nine authors of twenty-six style guides across journalism, government, industry, and the public sector, we reveal how these guides reflect the specific challenges of their organizations, including consistency, training, governance, and accountability. Our study highlights the tensions between standardization and flexibility, guidance and discretion, and automation and human oversight. We propose PRISM, a socio-technical framework that characterizes visualization style guides by their Purpose, Rules & Mechanisms, Institutional Enforcers, and Situated Flexibility. We show that publicly available style guides expose only a subset of this system. By viewing style guides as socio-technical systems, we enrich the research on design guidance and offer practical insights for those who create and rely on these guides in critical environments.

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