Bayesian Methods for Interaction and Design, 9781108792707
Paperback
Unlock better interfaces: Design with Bayesian models, understand user uncertainty.

Bayesian Methods for Interaction and Design

$111.85

  • Paperback

    374 pages

  • Release Date

    25 August 2022

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Summary

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 off…

Book Details

ISBN-13:9781108792707
ISBN-10:1108792707
Author:John H. Williamson, Antti Oulasvirta, Per Ola Kristensson, Nikola Banovic
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Paperback
Number of Pages:374
Release Date:25 August 2022
Weight:550g
Dimensions:228mm x 151mm x 20mm
What They're Saying

Critics Review

‘More than half a century since network flow theory was introduced by the 1962 book of L.R. Ford and D.R. Fulkerson, the area is still active and attractive. This book, based on course materials taught at Stanford and Cornell Universities, offers a concise and succinct description of most of the important topics, as well as covering recent developments. Its use in graduate courses related to algorithms and optimization is highly recommended.’ Toshihide Ibaraki, Kyoto College of Graduate Studies for Informatics‘A succinct and very readable account of network flow algorithms covering the classics and the latest developments. The perfect book for a course on network flow algorithms and a reference for the state of the art. It will be a frequently used addition to my bookshelf.’ Kurt Mehlhorn, Max-Planck Institute for Informatics‘This high-quality book provides exhaustive references that will serve anyone deeply interested in interface design and will be helpful to those looking to get into user experience and/or the design of interfaces. … Highly recommended.’ J. R. Lauber, Choice

About The Author

John H. Williamson

John H. Williamson is Senior Lecturer in Computing Science at the University of Glasgow. He holds B.Sc. and Ph.D. degrees from the University of Glasgow. His Ph.D. thesis was on continuous models of interactive systems with uncertainty. He is an expert in modelling and machine learning for continuous-control interfaces, multimodal feedback and uncertainty in interactive systems. His work is widely recognised, with several awards at the ACM SIGCHI conference. He is among the leaders of the Computational Interaction movement, and founded the international Summer School on Computational Interaction.

Antti Oulasvirta is Professor of Electrical Engineering and leads the User Interfaces research group at Aalto University and the Interactive AI research program at the Finnish Center for AI. He was previously Senior Researcher at the Max Planck Institute for Informatics. His work has been awarded the Best Paper Award and Best Paper Honorable Mention at CHI 13 times. He has given keynotes at NordiCHI’14, CoDIT’14, EICS’16, IHCI’17, ICWE’19 and Chinese CHI ‘19. He is a member of the European Laboratory for Learning and Intelligent Systems and of the Finnish Academy of Science and Letters.

Per Ola Kristensson is Professor of Interactive Systems Engineering in the Department of Engineering at the University of Cambridge and a Fellow of Trinity College, Cambridge. In 2007 he co-founded ShapeWriter to commercialise gesture keyboard technology based on his Ph.D. thesis. ShapeWriter won a Google Android ADC50 developer award and was selected as the 8th best iPhone application by Time in 2008. Kristensson has been named an Innovator Under 35 by MIT Technology Review and awarded the ACM UIST Lasting Impact Award, the Royal Society of Edinburgh Early Career Prize, and the Sir Thomas Makdougall Brisbane Medal. He is an Associate Editor of ACM TOCHI and ACM TIIS.

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