Cited by 456Data Visualization and AnalyticsComputer Graphics and Visualization TechniquesVisual and Cognitive Learning Processes

Toward measuring visualization insight

North, C.·2006·IEEE Computer Graphics and Applications

Abstract

Recent visualization research literature has paid an increasing amount of attention to evaluating visualizations. It seems an appropriate time to reopen the question about what the ultimate purpose of visualization is and how it should be evaluated. One potential claim is: the purpose of visualization is insight. The purpose of visualization evaluation is to determine to what degree visualizations achieve this purpose. If this claim is true, then evaluating visualizations should seek to determine how well visualizations generate insight. Measuring insight would enable the direct comparison of visualization design alternatives, or the comparison against an insight goal. This article examines the capability of the controlled experiment method to measure insight

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Crossref · 10.1109/mcg.2006.70

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Authors
North, C.
Affiliations
Virginia Tech (US)
Corresponding author
North, C.
Venue
IEEE Computer Graphics and Applications
Published
2006-05
Volume
26
Issue
3
Pages
6-9
ISSN
0272-1716 (ISSN-L)
OpenAlex
W1987135115
Cited by
456
References
6
Citations by year
2026: 7 · 2025: 19 · 2024: 18 · 2023: 22 · 2022: 16 · 2021: 23 · 2020: 34 · 2019: 30 · 2018: 30 · 2017: 36 · 2016: 30 · 2015: 32 · 2014: 25 · 2013: 20 · 2012: 21
FWCI
21.27
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Computer Graphics and Applications (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
Keywords
visualization evaluation, controlled experiments
MeSH terms
Computer Graphics, Data Display, Humans, Image Interpretation, Computer-Assisted, User-Computer Interface, Vision Tests, Visual Perception

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