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Information visualization: perception for designFebruary 2000
- Author:
- Colin Ware
Abstract
No abstract available.
Cited By
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- Laidlaw D, Davidson J, Miller T, da Silva M, Kirby R, Warren W and Tarr M Quantitative comparative evaluation of 2D vector field visualization methods Proceedings of the conference on Visualization '01, (143-150)
- van Wijk J and Telea A Enridged contour maps Proceedings of the conference on Visualization '01, (69-74)
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- Lanza M and Ducasse S A categorization of classes based on the visualization of their internal structure Proceedings of the 16th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, (300-311)
- Irani P, Tingley M and Ware C (2001). Using Perceptual Syntax to Enhance Semantic Content in Diagrams, IEEE Computer Graphics and Applications, 21:5, (76-85), Online publication date: 1-Sep-2001.
- Keim D (2001). Visual exploration of large data sets, Communications of the ACM, 44:8, (38-44), Online publication date: 1-Aug-2001.
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- Havre S, Hetzler B and Nowell L ThemeRiver Proceedings of the IEEE Symposium on Information Vizualization 2000
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- Irani P and Ware C Diagrams based on structural object perception Proceedings of the working conference on Advanced visual interfaces, (61-67)
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Index Terms
- Information visualization: perception for design
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Preattentive visualization of information relevance
HCM '07: Proceedings of the international workshop on Human-centered multimediaWhen presenting complex, multidimensional data to users, emphasis of relevant information plays an important role. Especially when data is arranged according to several criteria, the simultaneous use of multiple visualization metaphors frequently ...
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The goal of this book is to explain the science of perception to nonspecialists. It is intended for visualization scientists, engineers, and GUI developers who need to display information effectively but have not been trained in the psychology of perception. The author isolates the “most essential” subjects and presents them clearly and concisely. The initial chapters of the book explain the basics of optics, color, and light, and the later chapters go into more detail about perception and information visualization. Many color and black-and-white figures from recent research in visualization demonstrate the concepts presented. This excellent book will help anyone who develops information analysis programs (including scientists, engineers, and educators) learn how to convey information effectively .
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