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9781558605114

Information Visualization : Optimizing Design for Human Perception

by
  • ISBN13:

    9781558605114

  • ISBN10:

    1558605118

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2000-01-01
  • Publisher: MORGAN KAUFMAN
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Summary

This is the first book to combine a strictly scientific approach to human perception with a practical concern for the rules governing the effective visual presentation of information. Surveying the research of leading psychologists and neurophysiologists, the author isolates key principles at work in vision and perception, and from them, derives specific, effective visualization techniques, suitable for a wide range of scenarios. You can apply these principles in ways to optimize how others perceive visual information-resulting in improved clarity, utility, and persuasiveness. Likewise, you can apply them to your own exploratory data analyses to develop display strategies that make data patterns and their significance easier to discern. Information Visualization transcends the often-divergent approaches to visualization taken by individual disciplines. It will prove a fascinating, practical resource for anyone who uses graphical presentation as a key to successful analysis and communication: graphic artists, user interface/interaction designers, financial analysts, data miners, and managers faced with information-intensive challenges. * Brings current scientific insight to the study of data visualization. * Explains multiple facets of visual perception: color, organization, space, motion, texture, and the relationship between images and words. * Explores strategies for designing glyphs and icons to optimize a GUI's effectiveness and ease of use. * Examines the distinctions between word-based and image-based perception and develops guidelines for choosing between verbal and graphical communication approaches. * Presents successful techniques for displaying geographical and other data in multiple layers. * Offers rules for designing easily navigable data spaces in VRML. * Supports points with numerous illustrations, including over thirty color images.

Table of Contents

Preface xvii
Color Plates 200
Foundation for a Science of Data Visualization
1(34)
Visualization Stages
3(2)
Experimental Semiotics Based on Perception
5(17)
Semiotics of Graphics
5(2)
Pictures as Sensory Languages
7(3)
Sensory versus Arbitrary Symbols
10(4)
Properties of Sensory and Arbitrary Representation
14(2)
Testing Claims about Sensory Representations
16(3)
Arbitrary Conventional Representations
19(2)
The Study of Arbitrary Conventional Symbols
21(1)
Gibson's Affordance Theory
22(3)
A Model of Perceptual Processing
25(3)
Parallel Processing to Extract Low-Level Properties of the Visual Scene
25(1)
Sequential Goal-Directed Processing
26(2)
Types of Data
28(5)
Entities
28(1)
Relationships
29(1)
Attributes of Entities or Relationships
29(2)
Operations Considered as Data
31(2)
Conclusion
33(2)
The Environment, Optics, Resolution, and the Display
35(38)
The Environment
36(10)
Visible Light
37(1)
Ecological Optics
37(9)
The Eye
46(20)
The Visual Angle Defined
47(1)
The Lens
48(2)
Focus and Augmented-Reality Systems
50(2)
Focus in Virtual-Reality Displays
52(2)
Chromatic Aberration
54(1)
Receptors
55(1)
Simple Acuities
55(3)
Acuity Distribution and the Visual Field
58(2)
Spatial Contrast Sensitivity Function
60(4)
Visual Stress
64(2)
The Optimal Display
66(5)
Aliasing
66(2)
Number of Dots
68(1)
Superacuities and Displays
69(1)
Temporal Requirements of the Perfect Display
70(1)
Conclusion
71(2)
Lightness, Brightness, Contrast, and Constancy
73(30)
Neurons, Receptive Fields, and Brightness Illusions
75(5)
Simultaneous Brightness Contrast
78(1)
Mach Bands
78(1)
The Chevreul Illusion
78(2)
Simultaneous Contrast and Errors in Reading Maps
80(4)
Contrast Effects and Artifacts in Computer Graphics
80(3)
Edge Enhancement
83(1)
Luminance, Brightness, Lightness, and Gamma
84(16)
Luminance
86(2)
Brightness
88(2)
Adaptation, Contrast, and Lightness Constancy
90(1)
Contrast and Constancy
91(2)
Perception of Surface Lightness
93(1)
Lightness Differences and the Gray Scale
94(2)
Monitor Illumination and Monitor Surrounds
96(4)
Conclusion
100(3)
Color
103(48)
Trichromacy Theory
105(2)
Color Blindness
107(1)
Color Measurement
107(3)
Change of Primaries
109(1)
CIE System of Color Standards
110(5)
Chromaticity Coordinates
112(3)
Color Differences and Uniform Color Spaces
115(3)
Opponent Process Theory
118(6)
Properties of Color Channels
122(2)
Color Appearance
124(3)
Color Contrast
125(1)
Saturation
126(1)
Brown
126(1)
Applications of Color in Visualization
127(21)
Color Specification Interfaces and Color Spaces
128(5)
Color for Labeling
133(4)
Color Sequences for Maps
137(5)
Color Reproduction
142(3)
Color for Exploring Multidimensional Discrete Data
145(3)
Conclusion
148(3)
Visual Attention and Information That Pops Out
151(50)
Eye Movements
152(2)
Accommodation
153(1)
Visual Attention, Searching, and System Monitoring
154(8)
Eye Movements, Attention, and the Useful Field of View
154(8)
Reading from the Iconic Buffer
162(10)
Pre-attentive Processing
163(5)
Coding with Combinations of Features
168(1)
Conjunctions with Spatial Dimensions
169(2)
Designing a Symbol Set
171(1)
Neural Processing, Graphemes, and Tuned Receptors
172(4)
The Grapheme
174(2)
The Gabor Model and Texture in Visualization
176(4)
Texture Segmentation
177(1)
Trade-Offs in Information Density---an Uncertainty Principle
178(2)
Texture Coding Information
180(8)
The Primary Perceptual Dimensions of Texture
180(1)
The Generation of Distinct Textures
181(1)
Spatial-Frequency Channels, Orthogonality, and Maps
182(4)
Texture Contrast Effects
186(1)
Other Dimensions of Visual Texture
186(2)
Glyphs and Multivariate Discrete Data
188(10)
Restricted Classification Tasks
189(1)
Speeded Classification Tasks
190(2)
Integral-Separable Dimension Pairs
192(2)
Multidimensional Discrete Data
194(4)
Conclusion
198(3)
Static and Moving Patterns
201(40)
Gestalt Laws
203(11)
Proximity
203(2)
Similarity
205(1)
Continuity
206(2)
Symmetry
208(1)
Closure
209(3)
Relative Size
212(1)
Figure and Ground
212(2)
More on Contours
214(5)
Perceiving Direction: Representing Vector Fields
216(3)
Perception of Transparency: Overlapping Data
219(3)
The Perceptual Syntax of Diagrams
222(8)
The Grammar of Node-Link Diagrams
222(5)
The Grammar of Maps
227(3)
Patterns in Motion
230(9)
Form and Contour in Motion
232(1)
Moving Frames
233(2)
Expressive Motion
235(1)
Perception of Causality
235(2)
Perception of Animate Motion
237(2)
Enriching Diagrams with Simple Animation
239(1)
Conclusion
239(2)
Visual Objects and Data Objects
241(32)
Image-Based Object Recognition
242(5)
Applications of Images in User Interfaces
245(2)
Structure-Based Object Recognition
247(5)
Geon Theory
248(1)
Silhouettes
249(3)
The Object Display and Object-Based Diagrams
252(5)
The Geon Diagram
255(2)
Perceiving the Surface Shapes of Objects
257(13)
Spatial Cues for Representing Scalar Fields
258(4)
Integration of Cues for Surface Shape
262(2)
Interaction of Shading and Contour
264(4)
Guidelines for Displaying Surfaces
268(1)
Bivariate Maps: Lighting and Surface Color
269(1)
Integration
270(2)
Conclusion
272(1)
Space Perception and the Display of Data in Space
273(38)
Depth Cue Theory
274(24)
Perspective Cues
275(5)
Occlusion
280(1)
Depth of Focus
280(1)
Cast Shadows
281(1)
Shape-from-Shading
282(1)
Structure-from-Motion
282(2)
Eye Convergence
284(1)
Stereoscopic Depth
284(3)
Problems with Stereoscopic Displays
287(2)
Making Effective Stereoscopic Displays
289(4)
Artificial Spatial Cues
293(2)
Depth Cues in Combination
295(3)
Task-Based Space Perception
298(11)
Tracing Data Paths in 3D Graphs
298(4)
Judging the Morphology of Surfaces and Surface Target Detection
302(2)
Patterns of Points in 3D Space
304(1)
Judging Relative Positions of Objects in Space
305(1)
Judging the Relative Movement of Self within the Environment
306(1)
Judging the ``Up'' Direction
307(1)
The Esthetic Impression of 3D Space (Presence)
308(1)
Conclusion
309(2)
Images and Words
311(24)
Coding Words and Images
312(4)
The Nature of Language
314(2)
Visual and Spoken Language
316(13)
Images versus Words
319(4)
Links between Images and Words
323(4)
Visual Momentum in Animated Sequences
327(2)
Animated Visual Languages
329(3)
Conclusion
332(3)
Interacting with Visualizations
335(50)
Visual-Manual Control Loop
336(7)
Choice Reaction Time
336(1)
2D Positioning and Selection
337(2)
Skill Learning
339(2)
Vigilance
341(2)
View Refinement and Navigation Loop
343(23)
Locomotion and Viewpoint Control
343(10)
Map Orientation
353(2)
Focus, Context, and Scale
355(7)
Rapid Interaction with Data
362(4)
Problem-Solving Loop
366(16)
Iconic Memory
368(1)
Working Memory
368(1)
Long-Term Memory
369(2)
Chunks and Concepts
371(1)
Extending Memory and Cognition
371(3)
Visual Spatial Reasoning
374(6)
Creative Problem Solving
380(2)
Conclusion
382(3)
Appendix A Changing Primaries 385(2)
Appendix B CIE Color Measurement System 387(4)
Bibliography 391(20)
Index 411(26)
About the Author 437

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