论文标题

对可视化的个体差异的调查

Survey on Individual Differences in Visualization

论文作者

Liu, Zhengliang, Crouser, R. Jordan, Ottley, Alvitta

论文摘要

数据可视化研究中的发展使可视化系统能够在各个领域实现一般的可用性和应用。这些进步不仅改善了人们对数据的理解,而且改善了对人自己的一般理解,以及他们如何与可视化系统互动。特别是,研究人员已经逐渐认识到具有单一适合所有可视化接口的缺陷,以及个体差异在数据可视化系统使用中的重要性。不幸的是,对现有文献的缺乏全面的调查阻碍了这项研究的发展。在本文中,我们回顾了研究的观点,以及人格特征和认知能力,可视化,任务和现有文献研究的措施。我们旨在提供有关现有奖学金,产生循证评论以及刺激未来询问的详细摘要。

Developments in data visualization research have enabled visualization systems to achieve great general usability and application across a variety of domains. These advancements have improved not only people's understanding of data, but also the general understanding of people themselves, and how they interact with visualization systems. In particular, researchers have gradually come to recognize the deficiency of having one-size-fits-all visualization interfaces, as well as the significance of individual differences in the use of data visualization systems. Unfortunately, the absence of comprehensive surveys of the existing literature impedes the development of this research. In this paper, we review the research perspectives, as well as the personality traits and cognitive abilities, visualizations, tasks, and measures investigated in the existing literature. We aim to provide a detailed summary of existing scholarship, produce evidence-based reviews, and spur future inquiry.

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