Information Visualization: Perception for Design / Edition 4

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.

Product Details

ISBN-13:	9780128128756
Publisher:	Elsevier Science
Publication date:	03/13/2020
Series:	Interactive Technologies
Edition description:	4th ed.
Pages:	560
Product dimensions:	7.50(w) x 9.10(h) x 0.90(d)

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

1. Foundations for an Applied Science of Data Visualization 2. The Environment, Optics, Resolution, and the Display 3. Lightness, Brightness, Contrast, and Constancy 4. Color 5. Visual Salience and Finding Information 6. Static and Moving Patterns 7. Space Perception 8. Visual Objects and Data Objects 9. Images, Narrative, and Gestures for Explanation 10. Interacting with Visualizations 11. Visual Thinking Processes 12. Designing for Perception (new)

Visual Thinking Algorithms Visual Queries Pathfinding on a Map or Diagram Reasoning with a Hybrid of a Visual Display and Mental Imagery Design Sketching Brushing Small Pattern Comparisons in a Large Information Space Degree-of-Relevance Highlighting Generalized Fisheye Views Multidimensional Dynamic Queries with Scatter Plot Visual Monitoring Strategies

APPENDIX A. Changing Primaries B. CIE Color Measurement System Techniques and Systems C. Guidelines

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