Information Visualization

Perception for Design


  • Colin Ware, Data Visualization Research Lab, University of New Hampshire, Durham, USA

Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data? When we use software, access a website, or view business or scientific graphics, our understanding is greatly enhanced or impeded by the way the information is presented.This book explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness. The book offers practical guidelines that can be applied by anyone: interaction designers, graphic designers of all kinds (including web designers), data miners, and financial analysts.
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Professionals in user interface/user interaction designer; computer graphics, including those who are the techie type as well as those who are graphics designers; financial analysts; research scientists and engineers; data miners; and managers faced with information-intensive challenges


Book information

  • Published: May 2012
  • ISBN: 978-0-12-381464-7


"Oh my God, the Bible just got better. There is no book that I rely on more in my work than Information Visualization: Perception for Design, and with this third edition Colin Ware has made it more indispensible and easier to apply than ever."--Stephen Few, Principal, Perceptual Edge

"Drawing on his background in both computer science and the psychology of perception, Ware (coastal and ocean mapping, U. of New Hampshire) has become a leader in three-dimensional visualization systems, such as ocean currents and the movement of whales. For this third edition of his reference on what the science of perception reveals about visualization, he has clarified the design implications of research in perception, and increased the emphasis on the process of visual thinking. The topics include foundations for an applied science of data visualization, color, static and moving pictures, visual objects and data objects, and interacting with visualization."--Reference and Research Book News, August 2012, page 7

Table of Contents

Chapter 1. Foundations for an Applied Science of Data VisualizationChapter 2. The Environment, Optics, Resolution, and the DisplayChapter 3. Lightness, Brightness, Contrast and ConstancyChapter 4. ColorChapter 5. Visual Salience and Finding InformationChapter 6. Static and Moving PatternsChapter 7. Space PerceptionChapter 8. Visual Objects and Data ObjectsChapter 9. Images, Narrative, and Gestures for ExplanationChapter 10. Interacting with VisualizationsChapter 11. Visual Thinking Processes