Survey on Individual Differences in Visualization

Survey on Individual Differences in Visualization
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可视化个体差异调查

DOI:
10.1111/cgf.14033
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发表时间:
2020
影响因子:
2.5
通讯作者:
Ottley, Alvitta
Ottley, Alvitta
中科院分区:
计算机科学4区
文献类型:
--
作者:
Liu, Zhengliang;Crouser, R. Jordan;Ottley, Alvitta

文献摘要

参考文献

被引文献

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数据可视化研究的发展使可视化系统能够在各个领域实现很好的通用性和应用。这些进步不仅提高了人们对数据的理解,也提高了人们对自身以及他们如何与可视化系统交互的一般理解。特别是,研究人员已经逐渐认识到具有一刀切的可视化界面的不足,以及在使用数据可视化系统时个体差异的重要性。不幸的是,缺乏对现有文献的全面调查阻碍了这项研究的发展。在本文中,我们回顾了现有文献中的研究视角,以及人格特质和认知能力,可视化,任务和测量。我们的目标是提供现有奖学金的详细摘要,产生基于证据的评论,并促进未来的调查。
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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