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 website, 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.
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Information Visualization: Perception for Design is a comprehensive guide to what the science of human perception tells us about how we should display information.
The human brain is a super-computer for finding patterns in information. Our understanding of visual data and visual information is greatly enhanced or impeded by the way information is presented. It is essential that visual data be designed in such a way that key information and important patterns will stand out. It is only by understanding how perception works that the best visualizations can be created.
Colin Ware outlines the key principles for a wide range of applications and designs, providing designers with the tools to create visualizations of improved clarity, utility and persuasiveness. The book continues to be the key resource for practical design guidelines, based on perception, which can be applied by practitioners, students and researchers alike.
The author takes the "visual" in visualization very seriously. Colin Ware has advanced degrees in both computer science (MMath, Waterloo) and the psychology of perception (Ph.D., Toronto). He has published over a hundred articles in scientific and technical journals and at leading conferences, many of which relate to the use of color, texture, motion, and 3D in information visualization. In addition to his research, Professor Ware also builds useful visualization software systems. He has been involved in developing 3D interactive visualization systems for ocean mapping for over twelve years, and he directed the development of the NestedVision3D system for visualizing very large networks of information. Both of these projects led to commercial spin-offs. Professor. Ware recently moved from the University of New Brunswick in Canada to direct the Data Visualization Research Laboratory at the University of New Hampshire.
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