A Bounded Measure for Estimating the Benefit of Visualization (Part I): Theoretical Discourse and Conceptual Evaluation

Information theory can be used to analyze the cost–benefit of visualization processes. However, the current measure of benefit contains an unbounded term that is neither easy to estimate nor intuitive to interpret. In this work, we propose to revise the existing cost–benefit measure by replacing the...

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Bibliographic Details
Main Authors: Min Chen, Mateu Sbert
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/2/228