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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.
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Automated planning technology plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. This book covers both the theory and practice of automated planning. It is useful for researchers, professionals, and graduate students.
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Software for complex problem solving can dazzle people with advanced features and alluring visuals, but when actually put to use it often disappoints and even frustrates users. This software rarely follows the user's own work methods, nor does it give people the degree of control and choice that they truly need. This book presents a groundbreaking approach to interaction design for complex problem solving applications. The author uses her vast field experience to present a new way of looking at the whole process, and treats complex problem solving software and web applications as a distinct class with its own set of usefulness demands and design criteria. This approach highlights integrated interactions rather than discrete actions, clearly defines what makes problem solving complex, and explores strategies for analyzing, modeling, and designing for exploratory inquiries. In depth case studies ranging from IT troubleshooting to marketing analysis to risk assessments in healthcare show exactly where and what goes wrong in real world activities and how to improve them. Presents a system and framework for analyzing complex work and takes the mystery out of eliciting patterns of work and their meanings. Offers new perspectives for support and new design strategies for building the right models into programs so that they effectively address users' dynamic work. Allows designers to turn findings into useful designs for problems that require users to create new knowledge but with no one right answer and with many methods of reaching solutions.
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Aimed at information managers in organisations including local/state government, libraries and financial services. Mastering Information Retrieval and Probabilistic Decision Intelligence Technology reviews the management of information and its focus to people empowered to make decisions. It provides managers and students of information with the resources to understand and start to deploy information retrieval systems throughout their organisation and the tools to respond effectively to the enormous developments in new technologies. Written by an expert practitioner in the fieldHelps to summarise and explain the basic issuesCovers both benefits and challenges likely to be encountered in implementing an Information Retrieval system.
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