Information Visualization: Perception for Design

by Colin Ware

Overview

Information Visualization: Perception for Design, Fourth Edition 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. This new edition has been revised and updated to include the latest relevant research findings. Content has been updated in areas such as the cognitive neuroscience of maps and navigation, the neuroscience of pattern perception, and the hierarchy of learned patterns. New changes to the book make it easier to apply perceptual lessons to design decisions. In addition, the book offers practical guidelines that can be applied by anyone, including interaction designers and graphic designers of all kinds. - Includes the latest research findings in visualization and perception - Provides a new chapter on designing for perception to help bridge the gap between specific perception-based guidelines and common design decisions - Presents over 400 informative, full color illustrations that are key to an understanding of the subject

Product Details

ISBN-13:	9780128128763
Publisher:	Morgan Kaufmann Publishers
Publication date:	12/19/2019
Series:	Interactive Technologies
Sold by:	Barnes & Noble
Format:	eBook
Pages:	560
File size:	178 MB
Note:	This product may take a few minutes to download.

About the Author

Colin Ware is the world’s leading authority on the perceptual principles underlying the effective design of information displays. He combines interests in both basic and applied visualization research and he has advanced degrees in both computer science (MMath, Waterloo) and in the psychology of perception (PhD,Toronto). He has published over 160 articles in scientific and technical journals and at leading conferences. Many of these articles relate to the use of color, texture, motion and 3D displays in information visualization. His approach is always to combine theory with practice and his publications range from rigorously scientific contributions to the Journal of Physiology and Vision Research to applications oriented articles in ACM Transactions on Graphics and ACM Transactions on Computer-Human Interaction. Fledermaus, the leading visualization software used in oceanography, originated in software developed by him and his graduate students.

Table of Contents

	Figure Credits	xv
	Foreword	xvii
	Preface	xix
	Preface to the First Edition	xxi
Chapter 1	Foundation for a Science of Data Visualization	1
	Visualization Stages	4
	Experimental Semiotics Based on Perception	5
	A Model of Perceptual Processing	20
	Types of Data	23
	Metadata	26
	Conclusion	27
Chapter 2	The Environment, Optics, Resolution, and the Display	29
	The Environment	30
	The Eye	38
	The Optimal Display	62
	Conclusion	67
Chapter 3	Lightness, Brightness, Contrast, and Constancy	69
	Neurons, Receptive Fields, and Brightness Illusions	70
	Luminance, Brightness, Lightness, and Gamma	80
	Conclusion	93
Chapter 4	Color	97
	Trichromacy Theory	98
	Color Blindness	99
	Color Measurement	100
	CIE System of Color Standards	103
	Opponent Process Theory	110
	Color Appearance	116
	Applications of Color in Visualization	119
	Conclusion	143
Chapter 5	Visual Attention and Information that Pops Out	145
	Searching the Visual Field	146
	Reading from the Iconic Buffer	147
	Neural Processing, Graphemes, and Tuned Receptors	159
	The Gabor Model and Texture in Visualization	161
	Texture Coding Information	164
	Glyphs and Multivariate Discrete Data	176
	Conclusion	185
Chapter 6	Static and Moving Patterns	187
	Gestalt Laws	189
	More on Contours	198
	Perception of Transparency: Overlapping Data	205
	The Perceptual Syntax of Diagrams	210
	Patterns in Motion	217
	Conclusion	225
Chapter 7	Visual Objects and Data Objects	227
	Image-Based Object Recognition	228
	Structure-Based Object Recognition	233
	Faces	237
	The Object Display and Object-Based Diagrams	239
	Perceiving the Surface Shapes of Objects	243
	Cushion Maps	255
	Integration	255
	Conclusion	257
Chapter 8	Space Perception and the Display of Data in Space	259
	Depth Cue Theory	259
	Task-Based Space Perception	283
	Conclusion	294
Chapter 9	Images, Words, and Gestures	297
	Coding Words and Images	297
	The Nature of Language	299
	Visual and Spoken Language	301
	Animated Visual Languages	312
	Conclusion	315
Chapter 10	Interacting with Visualizations	317
	Data Selection and Manipulation Loop	318
	Exploration and Navigation Loop	325
	Conclusion	349
Chapter 11	Thinking with Visualizations	351
	Memory Systems	352
	Eye Movements	363
	Problem Solving with Visualizations	370
	Creative Problem Solving	383
	Conclusion	385
Appendix A	Changing Primaries	387
Appendix B	CIE Color Measurement System	389
Appendix C	The Perceptual Evaluation of Visualization Techniques and Systems	393
	Research Goals	393
	Psychophysics	394
	Cognitive Psychology	397
	Structural Analysis	398
	Statistical Exploration	400
	Cross-Cultural Studies	401
	Child Studies	401
	Practical Problems in Conducting User Studies	402
	Bibliography	405
	Subject Index	451
	Author Index	479
	About the Author	485

What People are Saying About This

From the Publisher

The classic text/reference in data and information visualization, updated with the latest research and new content on designing for perception

Editorial Reviews

"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

From the Publisher