Information Visualization: Perception for DesignMost 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. - Complete update of the recognized source in industry, research, and academic for applicable guidance on information visualizing - Includes the latest research and state of the art information on multimedia presentation - More than 160 explicit design guidelines based on vision science - A new final chapter that explains the process of visual thinking and how visualizations help us to think about problems - Packed with over 400 informative full color illustrations, which are key to understanding of the subject |
Contents
| 1 | |
| 31 | |
Chapter 3 Lightness Brightness Contrast and Constancy | 69 |
Chapter 4 Color | 95 |
Chapter 5 Visual Salience and Finding Information | 139 |
Chapter 6 Static and Moving Patterns | 179 |
Chapter 7 Space Perception | 239 |
Chapter 8 Visual Objects and Data Objects | 293 |
Chapter 10 Interacting with Visualizations | 345 |
Chapter 11 Visual Thinking Processes | 375 |
Changing Primaries | 425 |
CIE Color Measurement System | 427 |
The Perceptual Evaluation of Visualization Techniques and Systems | 431 |
Guidelines | 445 |
Bibliography | 459 |
| 497 | |
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Common terms and phrases
algorithm applied background basic blue channels Chapter chromatic coding cognitive color space complex components computer graphics concepts consider contours contrast effects data space data visualization defined depth cues diagram dimensions display distinct effective entities environment example eye movements feature field fixation focus fovea geon glyph gray green highlighting human illustrated in Figure important Information Visualization interactive interface kind language light long-term memory luminance contrast method monitor motion moving neurons nodes orientation parallel coordinates patterns perceived perception pixels preattentive problem processing receptive field regions relationships represent representation scale scatterplot screen sensitivity shading shape shown in Figure shows simple spatial frequency static stereo stereoscopic depth structure studies surface symbols target task techniques texture theory tion treemap values variables virtual visual angle visual objects visual query visual search visual system visual thinking visual working memory Ware