数据头像：理论指导下的多维数据可视化设计与评估

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management Pub Date : 2023-12-23 DOI:10.1016/j.im.2023.103911

Kurt A. Pflughoeft , Fatemeh "Mariam" Zahedi , Yan Chen

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引用次数: 0

摘要

我们提出了一种新颖的多维数据可视化方法--数据化身。我们依靠设计科学方法和双处理理论（系统 1-系统 2）来指导我们的设计，并将数据化身方法与两种著名的数据可视化方法进行对比测试。测试包括一项有 429 名公众参加的实验室实验，并使用了行业数据。结果表明，就用户认知性能而言，数据化身提供了一种可行的多维数据可视化方法。此外，实验结果还表明，感知认知负荷和乐趣在用户偏好数据可视化设计方面起着重要作用。

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Data avatars: A theory-guided design and assessment for multidimensional data visualization

We propose the design of a novel method for multidimensional data visualization, called data avatars. We rely on the design science approach and the dual-processing theory (System 1-System 2) to guide our design and test the data avatars method against two well-known data visualization methods. The test involves a lab experiment with 429 participants from the general public and uses industry data. Our results show that data avatars provide a viable method for visualizing multidimensional data in terms of user cognitive performance. Further, the results indicate the important role of perceived cognitive load and enjoyment in users’ preference for data visualization design.

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来源期刊

Information & Management 工程技术-计算机：信息系统

CiteScore

17.90

自引率

6.10%

发文量

123

审稿时长

1 months

期刊介绍： Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.