Survey on Individual Differences in Visualization. (18th July 2020)

• Record Type: Journal Article
• Authors: Liu, Zhengliang; Crouser, R. Jordan; Ottley, Alvitta
• Is Part Of: Computer graphics forum. Volume 39:Number 3(2020)
• Page Start: 693
• Page End: 712
• Publication Date: 2020-07-18
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14033
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 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.