A Bounded Measure for Estimating the Benefit of Visualization (Part I): Theoretical Discourse and Conceptual Evaluation
| Autor: | Chen, M, Sbert, M |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Information theory Entropia (Teoria de la informació) Information Theory (cs.IT) Computer Science - Information Theory Computer Science - Human-Computer Interaction General Physics and Astronomy Graphics (cs.GR) Human-Computer Interaction (cs.HC) Information display systems Entropy (Information theory) Computer Science - Graphics Informació Teoria de la information theory theory of visualization cost–benefit analysis divergence measure benefit of visualization human knowledge in visualization abstraction deformation volume visualization metro map Visualització (Informàtica) |
| Zdroj: | Entropy Entropy, 2022, vol. 24, núm. 2, p. 228 Articles publicats (D-IMAE) Chen, Min SbertSbert, Mateu 2022 A Bounded Measure for Estimating the Benefit of Visualization (Part I): Theoretical Discourse and Conceptual Evaluation Entropy 24 2 228 DUGiDocs – Universitat de Girona instname Entropy; Volume 24; Issue 2; Pages: 228 |
| ISSN: | 1099-4300 |
| Popis: | 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 unbounded term with a bounded one. We examine a number of bounded measures that include the Jenson-Shannon divergence and a new divergence measure formulated as part of this work. We describe the rationale for proposing a new divergence measure. As the first part of comparative evaluation, we use visual analysis to support the multi-criteria comparison, narrowing the search down to several options with better mathematical properties. The theoretical discourse and conceptual evaluation in this paper provide the basis for further comparative evaluation through synthetic and experimental case studies, which are to be reported in a separate paper. Following the SciVis 2020 reviewers' request for more explanation and clarification, the origianl article, "A Bounded Measure for Estimating the Benefit of Visualization, arxiv:2002.05282", was split into two articles, on "Theoretical Discourse and Conceptual Evaluation" and "Case Studies and Empirical Evaluation" respectively. This is the first article |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|