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  • Cited by 2
Cambridge University Press
Online publication date:
August 2022
Print publication year:
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Book description

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.


‘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 Source: Choice

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  • 1 - An Introduction to Bayesian Methods for Interaction Design
    pp 3-80


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