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The procedure uses approaches from risk and decision analysis to identity the most relevant information; it also uses approaches from psychology and communication theory to ensure that its message is understood. This book is written in nontechnical terms, designed to make the approach feasible for anyone willing to try it. It is illustrated with successful communications, on a variety of topics."--Jacket.
Computers, Commmunication, and Mental Models is a far-ranging, focused treatment of the cognitive and behavioural issues in computer-mediated communication, knowledge representation and computer-supported co- operative work. It is also an argued development of the theoretical bases for treating computerized tools as intermediaries in the communication of mental maps between tool builders and users. Empirical trails are reported in detail sufficient for representation, in computer-based instruction, fractal dimensions of cognitive mapping and group decision support. The book is a collection of multidisciplinary papers which each shed light on the complex interactions between users and systems architects, via a common medium: computerized tools.
In his only complete work of any length, Kenneth Craik considers thought as a term for the conscious working of a highly complex machine.
Nowadays, mental models are seen as crucial in systems design. Research is driven by the assumption that a better insight into a user's cognitive processes when using a system will improve design methods and provide friendly and efficient interfaces. The papers in this volume explore three fundamental issues: understanding the complexity of the intended worksystem, describing it by models and finally building the required powerful and usable system. The papers are an edited selection of those presented at the 8th interdisciplinary workshop on Mental Models and HCI, held in Austria in June 1989. They concentrate primarily on design issues, their theoretical background and the application of the concept of Human-Computer Interaction (HCI). Nevertheless, there are also contributions on theoretical topics and methodological questions.
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
This second edition of The Human-Computer Interaction Handbook provides an updated, comprehensive overview of the most important research in the field, including insights that are directly applicable throughout the process of developing effective interactive information technologies. It features cutting-edge advances to the scientific
There is no single methodology for creating the perfect product—but you can increase your odds. One of the best ways is to understand users' reasons for doing things. Mental Models gives you the tools to help you grasp, and design for, those reasons. Adaptive Path co-founder Indi Young has written a roll-up-your-sleeves book for designers, managers, and anyone else interested in making design strategic, and successful.
Es wird eine Methode zur Bestimmung von quantitativ klassifizierenden kulturellen Variablen der Mensch-Maschine-Interaktion (MMI) präsentiert und in einem Werkzeug für die interkulturelle Interaktionsanalyse umgesetzt. Rüdiger Heimgärtner zeigt, dass MMI anhand der kulturell geprägten Interaktionsmuster des Benutzers automatisch an dessen kulturellen Hintergrund angepasst werden kann. Empfehlungen für das Design interkultureller Benutzungsschnittstellen sowie für die Architekturbildung kulturell-adaptiver Systeme runden die Arbeit ab. Der Arbeitsbericht der Dissertation ist in elektronischer Form auf der IUIC-WebSite www.iuic.de veröffentlicht. Nach Registrierung unter „Projekte/Projects“ und Bestätigung der Aktivierungs-Email können Käufer den Arbeitsbericht einsehen.
Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.