Steichen Ben, Fu Bo
Department of Computer Science, California State Polytechnic University, Pomona, CA, United States.
Department of Computer Engineering and Computer Science, California State University, Long Beach, CA, United States.
Front Artif Intell. 2019 Nov 1;2:22. doi: 10.3389/frai.2019.00022. eCollection 2019.
Information Visualization systems have traditionally followed a one-size-fits-all model, whereby the same visualization is shown to each user, without taking into consideration an individual user's preferences, abilities, or context. By contrast, given the considerable cognitive effort involved in using Information Visualizations, this paper investigates the effect of an individual user's cognitive style on Information Visualization performance. In addition, this paper studies several interactive "visualization aids" (i.e., interactive overlays that can aid in visualization comprehension), as well as the effect of cognitive style on aid choices and preferences. The results from a user study show that cognitive style plays a significant role when performing tasks with Information Visualizations in general, and that there are clear differences in terms of individual aid choices and preferences. These findings also provide motivation for the development of adaptive and personalized Information Visualization systems that could better assist users according to their individual cognitive style.
传统上，信息可视化系统采用一刀切的模式，即向每个用户展示相同的可视化效果，而不考虑用户的个人偏好、能力或背景。相比之下，鉴于使用信息可视化需要付出相当大的认知努力，本文研究了个体用户的认知风格对信息可视化性能的影响。此外，本文还研究了几种交互式“可视化辅助工具”（即有助于可视化理解的交互式叠加层），以及认知风格对辅助工具选择和偏好的影响。一项用户研究的结果表明，总体而言，认知风格在使用信息可视化执行任务时起着重要作用，而且在个体辅助工具选择和偏好方面存在明显差异。这些发现也为开发适应性和个性化的信息可视化系统提供了动力，这类系统可以根据用户的个人认知风格更好地为用户提供帮助。
