Bayesian Methods for Interaction and Design

This book discusses how Bayesian models can be used in interface design and user modeling, offering a practical foundation for reasoning about human-computer interaction and representing and manipulating uncertainty. It includes a tutorial on Bayesian concepts and their practical implementation and covers applications in improving pointing-based interfaces, efficient text entry, advanced interface design, and modeling cognitive processes.

Format: Paperback / softback
Length: 400 pages
Publication date: 25 August 2022
Publisher: Cambridge University Press

This comprehensive book is a valuable resource for researchers and practitioners in the field of interaction design, offering insightful approaches to leveraging Bayesian models in addressing interface design and user modelling challenges. It serves as an introduction to Bayesian modelling, highlighting its potential for understanding human-computer interaction, particularly in the representation and manipulation of uncertainty. With the increasing availability of computational tools for implementing Bayesian methods, these approaches become increasingly practical and provide a principled foundation for reasoning about interaction design.

The book begins with a self-contained tutorial, tailored specifically for interaction designers, providing a solid foundation in Bayesian concepts and their practical implementation. This tutorial is designed to meet the background and needs of the readers, ensuring they have the necessary knowledge to effectively apply Bayesian modelling in their work.

The subsequent chapters delve into diverse applications of Bayesian probabilistic modelling. They explore how Bayesian models can be used to enhance pointing-based interfaces, optimize text entry using modern language models, develop advanced interfaces through cutting-edge techniques in Bayesian optimization, and employ Bayesian approaches to model cognitive processes of users.

By presenting a wide range of real-world examples and case studies, the book demonstrates the practical relevance and effectiveness of Bayesian modelling in the field of interaction design. It serves as a valuable guide for researchers and practitioners seeking to advance their understanding of human-computer interaction and develop innovative solutions that incorporate uncertainty-aware design principles.

In conclusion, this book is a must-read for anyone interested in advancing their knowledge and skills in interaction design. It provides a comprehensive and practical introduction to Bayesian modelling, showcasing its potential to revolutionize the way we think about and approach interface design and user modelling. With its rich content, real-world examples, and insightful discussions, it offers valuable insights and practical approaches that will benefit researchers, practitioners, and students alike.

Weight: 501g
ISBN-13: 9781108792707