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Book Sections Year : 2020

Visual Abstraction

Ivan Viola
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Min Chen
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Tobias Isenberg

Abstract

In this chapter we revisit the concept of abstraction as it is used in visualization and put it on a solid formal footing. While the term abstraction is utilized in many scientific disciplines, arts, as well as everyday life, visualization inherits the notion of data abstraction or class abstraction from computer science, topological abstraction from mathematics, and visual abstraction from arts. All these notions have a lot in common, yet there is a major discrepancy in the terminology and basic understanding about visual abstraction in the context of visualization. We thus root the notion of abstraction in the philosophy of science, clarify the basic terminology, and provide crisp definitions of visual abstraction as a process. Furthermore, we clarify how it relates to similar terms often used interchangeably in the field of visualization. Visual abstraction is characterized by a conceptual space where this process exists, by the purpose it should serve, and by the perceptual and cognitive qualities of the beholder. These characteristics can be used to control the process of visual abstraction to produce effective and informative visual representations.
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Dates and versions

hal-02944201 , version 1 (21-09-2020)

Identifiers

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Ivan Viola, Min Chen, Tobias Isenberg. Visual Abstraction. Min Chen; Helwig Hauser; Penny Rheingans; Gerik Scheuermann. Foundations of Data Visualization, Springer International Publishing, pp.15--37, 2020, 978-3-030-34444-3. ⟨10.1007/978-3-030-34444-3_2⟩. ⟨hal-02944201⟩
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