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Bayesian Methods for Interaction and Design

Bayesian Methods for Interaction and Design

Bayesian Methods for Interaction and Design Paperback - 2022

by John H. Williamson (Editor); Antti Oulasvirta (Editor); Per Ola Kristensson (Editor)

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Details

  • Title Bayesian Methods for Interaction and Design
  • Author John H. Williamson (Editor); Antti Oulasvirta (Editor); Per Ola Kristensson (Editor)
  • Binding Paperback
  • Condition Used - Very good
  • Pages 374
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2022-08-25
  • Features Bibliography, Index
  • Bookseller's Inventory # GOR014649551
  • ISBN 9781108792707 / 1108792707
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9 x 6 x 0.77 in (22.86 x 15.24 x 1.96 cm)
  • Category Computers - General Information
  • Library of Congress subjects Bayesian statistical decision theory, User interfaces (Computer systems)
  • Library of Congress Catalogue Number 2022016991
  • Dewey Decimal Code 620.82
  • Quantity available 1

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From the publisher

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.

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Citations

  • Choice, 11/01/2023, Page 0

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