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  1. Proceedings of the 3rd BELIV'10 Workshop (BELIV '10)
  2. Towards information-theoretic visualization evaluation measure: a practical example for Bertin's matrices
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Developing qualitative metrics for visual analytic environments
Many roads lead to Rome: mapping users' problem solving strategies
Exploring information visualization: describing different interaction patterns
Towards information-theoretic visualization evaluation measure: a practical example for Bertin's matrices
Learning-based evaluation of visual analytic systems
A descriptive model of visual scanning
Generating a synthetic video dataset
Is your user hunting or gathering insights?: identifying insight drivers across domains
Comparing benchmark task and insight evaluation methods on timeseries graph visualizations
Do Mechanical Turks dream of square pie charts?
Comparing information graphics: a critical look at eye tracking
Evaluating information visualization in large companies: challenges, experiences and recommendations

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Towards information-theoretic visualization evaluation measure: a practical example for Bertin's matrices

Content Provider ACM Digital Library
Author Liiv, Innar
Abstract This paper presents a discussion about matrix-based representation evaluation measures, including a review of related evaluation measures from different scientific disciplines and a proposal for promising approaches. The paper advocates linking or replacing a large portion of indefinable aesthetics with a mathematical framework and theory backed up by an incomputable function -- Kolmogorov complexity. A suitable information-theoretic evaluation measure is proposed together with a practical approximating implementation example for Bertin's Matrices.
Starting Page 24
Ending Page 28
Page Count 5
File Format PDF
ISBN 9781450300070
DOI 10.1145/2110192.2110196
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-04-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Visualization Kolmogorov complexity Evaluation metrics
Content Type Text
Resource Type Article
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