The Rational Agent Benchmark for Data Visualization
Understanding how helpful a visualization is from experimental results is difficult because the observed performance is confounded with aspects of the study design, such as how useful the information that is visualized is for the task. We develop a rational agent framework for designing and interpre...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 1 vom: 23. Jan., Seite 338-347
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| Auteur principal: |
Wu, Yifan
(Auteur) |
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| Autres auteurs: |
Guo, Ziyang,
Mamakos, Michalis,
Hartline, Jason,
Hullman, Jessica |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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