Bayesian Methods for Interaction and Design

John H. Williamson, Antti Oulasvirta, Per Ola Kristensson, Nikola Banovic

• Publisher: Cambridge University Press
• Year: 2022
• Print ISBN: 9781108834995
• eBook ISBN: 9781108890663
• Topic: Computer Science
• Subtopic: Social Aspects in Computer Science
• Index: Computer Science

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.

Table of contents

• Cover
• Half-title
• Title page
• Copyright information
• Contents
• List of Contributors
• Preface
• Part I Introduction to Bayesian Methods
• Part II Probabilistic Interfaces and Inference of Intent
• Part III Bayesian Optimisation in Interaction Design
• Part IV Bayesian Cognitive Modelling
• Appendix: Mathematical Background and Notation