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ISBN 10: 1108792707 ISBN 13: 9781108792707
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ISBN 10: 1108792707 ISBN 13: 9781108792707
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Published by Cambridge University Press, 2022
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Published by Cambridge University Press,, 2022
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Published by Cambridge University Press, 2022
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Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Published by Cambridge University Press, 2022
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Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Hardcover. Condition: new. Hardcover. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Hardcover. Condition: new. Hardcover. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging .
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.