Abstract
This review aims to analyze the recent literature to find how the preattentive visual process is currently used in information visualization, particularly to improve the cognitive process in chart comprehension (i.e., perceptual effectiveness). The purpose of our literature review is to provide an overview of how concepts related to the preattentive process are used pragmatically in recent research. We searched different bibliography sources between 2010 and 2021, getting 29 articles that fit the review focus. In general, we discovered that the research work on exploiting the preattentive process in information visualization is currently not thoroughly explored. The main contribution of the paper is the analysis of the papers, from which we identified two categories of research directions according to the primary uses of preattentive concepts: “preattentive attributes as design components,” and “the preattentive process as a measuring tool,” with a gap between these two approaches. The review also highlighted two limitations in the current research literature: most works tend to focus on a particular chart type, only, with difficult to generalize results, and the manipulation of preattentive attributes is done implicitly, without providing to the graph designer the suitable awareness over the design decisions impact. We finally present a proposal about how to use the knowledge about the preattentive process in the first stages of design in information visualization to start closing the gap mentioned above with the graph designer.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Luisa Barrera-Leon
Luisa Barrera-Leon is a Ph.D. student at the Department of Computer and Control Engineering of Politecnico di Torino. His current research focuses on Human-Computer Interaction, interested in developing adaptive systems integrating with user experience principles.
Fulvio Corno
Fulvio Corno is a Full Professor at the Department of Control and Computer Engineering of Politecnico di Torino. Since 2002, he has been the leader of the e-Lite research group, where he focuses on Ambient Intelligence systems by integrating novel interaction modalities with IoT architectures.
Luigi De Russis
Luigi De Russis has been an Assistant Professor at the Department of Computer and Control Engineering of Politecnico di Torino since 2018. His current research focuses on Human-Computer Interaction, with a particular interest in how to overcome interaction challenges in complex settings, such as within IoT systems.