Information visualization: perception for design by Colin Ware
Information visualization: perception for design by Colin Ware
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DOI：
10.1145/2579281.2579288
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发表时间：
2000-02
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影响因子：
--
通讯作者：
Veit Jahns
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文献类型：
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作者：
Veit Jahns
大多数设计师都知道，针对蓝色背景的黄色文字清晰易于读取，但是有多少可以解释原因，什么是帮助他人和我们自己的最佳方法清楚地看到了一堆数据中的关键模式？当我们使用软件，访问网站或查看业务或科学图形时，信息的呈现方式会极大地增强或阻碍我们的理解。这本书探讨了为什么我们以自己的方式看到对象的艺术和科学。基于感知和愿景的科学，作者为广泛的应用提供了关键原则，这是对改善清晰度，效用和说服力的可视化。该书提供了任何人都可以应用的实用准则：交互设计师，各种图形设计师（包括网页设计师），数据矿工和财务分析师。有关信息可视化的适用指南，在行业，研究和学术中的公认来源的完整更新。包括有关多媒体演示的最新研究和最新信息。基于视觉科学的160多个显式设计指南。新的最后一章，解释了视觉思维的过程以及可视化如何帮助我们思考问题。包含超过400多个有用的全彩插图，这是理解该主题的关键。目录第1章。应用数据可视化科学的基础第2章。环境，光学，分辨率和显示第3章。亮度，亮度，对比度和恒定性第4章。颜色第5章。 6。静态和移动模式第7章。空间感知第8章。视觉对象和数据对象第9章。图像，叙述和手势说明第10章。与可视化互动第11章。视觉思维过程
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. 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. Table of Contents Chapter 1. Foundations for an Applied Science of Data Visualization Chapter 2. The Environment, Optics, Resolution, and the Display Chapter 3. Lightness, Brightness, Contrast and Constancy Chapter 4. Color Chapter 5. Visual Salience and Finding Information Chapter 6. Static and Moving Patterns Chapter 7. Space Perception Chapter 8. Visual Objects and Data Objects Chapter 9. Images, Narrative, and Gestures for Explanation Chapter 10. Interacting with Visualizations Chapter 11. Visual Thinking Processes