Information Visualization, Second Edition: Perception for Design

Although more technical than most graphic design books, the book "is intended to make [the data from the science and study of visualization] available to the non-specialist." Each chapter focuses on a different facet of human vision, like "Lightness, Brightness, Contrast, and Constancy" in chapter 3, or "Static and Moving Patterns" in chapter 4.

Although the author tries to put a great deal of scientific research data into pedestrian terms, the nature of the subject matter and the papers from which he culls his information make this task an uphill battle from the start. As a result, the book is full of valuable information, but it may not necessarily be right for the average graphic designer looking for a new inspirational spin. Serious interface designers, presentation designers, data analyzers, or any artist tasked with presenting ideas in a visual format, though, should come away from Information Visualization with a clearer understanding of the inner workings of perception. At the very least, they'll be able to explain why yellow text against blue is a good combination. --Mike Caputo

Product Description
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.

Download Description
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 web site, 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.

And therein lies the problem. For a single volume book Ware's effort tries to cover too much and some of the chapters are quite weak (chapter 0 and 10). Also, the fact that it was written by a psychologist shows in a good and bad way: human visual cognition is correctly the foundation upon which to build visualisation. Unfortunately the examples and the ideas for implementation are often lacking or poor in quality.

The first edition also has typesetting errors, so be sure to get the second edition.

All in all, it's still a book worth getting if you're in any serious way connected with the practise of visualisation. However, don't expect it to be the bible of the field, as such a thing does not exist (yet).


Excellent, despite its flaws   August 11, 2000
 40 out of 41 found this review helpful

Ware's book provides a technically accurate and well-written overview of the gamut of issues pertaining to information visualization -- from basic visual anatomy and physiology to techniques for creating effective displays from multidimensional data.

Yes, it's "introductory" in nature, but it's the most comprehensive introduction I've seen to this complex and emerging field. It would make an excellent reference or textbook.

The 5-star content gets 4 stars because of the book's numerous editorial flaws. For example, several illustrations in the text reference color plate images that simply don't exist. And at least a half-dozen works cited in the text don't appear on the reference list. All-in-all, a rather slipshod editing job.