Information Visualization: Perception for Design (Google eBook)

Front Cover
Morgan Kaufmann, May 5, 2004 - Computers - 486 pages
11 Reviews
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?

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.

*First work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations.

* Major revision of this classic work, with a new chapter on visual thinking, new sections on face perception and flow visualization, and a much expanded chapter on color and color sequences.

*New to this edition is the full color treatment throughout, to better display over 400 illustrations.
  

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LibraryThing Review

User Review  - encephalical - LibraryThing

Strongest on the sections describing the anatomy, neuroscience, and psychology of visual perception and cognition. Would like to have seen more case studies on successful and unsuccessful designs ... Read full review

Review: Information Visualization: Perception for Design

User Review  - Manolo Frias - Goodreads

I wanted to read this book because of the good feedback it got from authors I admire. I don't regret it but I should have noticed that it is a scientific academic textbook. Nothing wrong with that but ... Read full review

Contents

Visualization Stages
4
Types of Data
23
Metadata
26
Conclusion
27
The Environment Optics
29
The Environment
30
Figure 230 A striped pattern is sampled by pixels The
64
Lightness Brightness
69
Visual Objects and Data Objects
227
ImageBased Object Recognition
228
StructureBased Object Recognition
233
The Object Display and ObjectBased Diagrams
239
Figure 721 Results of the study of shape perception by
250
Cushion Maps
255
Conclusion
257
Space Perception and the
259

Neurons Receptive Fields and Brightness Illusions
70
Luminance Brightness Lightness and Gamma
80
Color
97
CIE
103
Color Appearance
116
Applications of Color in Visualization
119
Conclusion
143
Visual Attention and Information
145
Searching the Visual Field
146
Neural Processing Graphemes and Tuned Receptors
159
Figure 524 Another example of a sliver plot Three variables
174
Figure 531 Examples of glyphs coded according to two display
181
Figure 532 Graphical attributes that may be used in glyph
183
Conclusion
185
Static and Moving Patterns
187
Gestalt Laws
189
Figure 63 The principle of spatial concentration The dot labeled
190
Figure 621 The results of Field et al 1993 suggest
201
Overlapping Data
205
The Perceptual Syntax of Diagrams
210
Figure 634 The visual grammar of map elements
216
First we consider the simplest casedata represented by a series
218
Conclusion
225
Conclusion
294
Images Words and Gestures
297
Visual and Spoken Language
301
Animated Visual Languages
312
Conclusion
315
Interacting with Visualizations
317
Data Selection and Manipulation Loop
318
Exploration and Navigation Loop
325
Figure 1019 In a visualization system it is often useful
347
Thinking with Visualizations
351
Memory
352
Eye Movements
363
Problem Solving with Visualizations
370
Changing Primaries
387
CIE Color Measurement System
389
The Perceptual Evaluation
393
Cognitive
397
Structural Analysis
398
Statistical Exploration
400
Practical Problems in Conducting User Studies
402
Bibliography
405
Copyright

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About the author (2004)

Ware is the director of the Data Visualization Research Laboratory at the University of New Hampshire.

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