论文标题

在数据可视化实践中设计判断

Design Judgment in Data Visualization Practice

论文作者

Parsons, Paul, Gray, Colin M., Baigelenov, Ali, Carr, Ian

论文摘要

数据可视化正在成为越来越受欢迎的设计实践领域。尽管许多研究强调了有效的数据可视化设计所需的知识,但它们的重点主要放在可以抽象和编纂的正式知识和逻辑决策过程上。对所有设计活动中普遍存在的位置和个人知识方式的关注更少。在这项研究中,我们对数据可视化从业人员进行了半结构化访谈,在此期间,他们被要求描述其设计过程的实际和位置。使用尼尔森和斯托尔特曼[23]的设计判断的哲学框架,我们分析了成绩单,以描述数据可视化从业人员描述和询问其工作时使用的设计判断的数量和复杂分层。我们确定了数据可视化实践的各个方面,这些方面需要进一步调查,而不是理性,模型或原则指导的决策过程。

Data visualization is becoming an increasingly popular field of design practice. Although many studies have highlighted the knowledge required for effective data visualization design, their focus has largely been on formal knowledge and logical decision-making processes that can be abstracted and codified. Less attention has been paid to the more situated and personal ways of knowing that are prevalent in all design activity. In this study, we conducted semi-structured interviews with data visualization practitioners during which they were asked to describe the practical and situated aspects of their design processes. Using a philosophical framework of design judgment from Nelson and Stolterman [23], we analyzed the transcripts to describe the volume and complex layering of design judgments that are used by data visualization practitioners as they describe and interrogate their work. We identify aspects of data visualization practice that require further investigation beyond notions of rational, model- or principle-directed decision-making processes.

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