Bayesian Methods for Interaction and Design by John H. Williamson (English) Pape

Description: Bayesian Methods for Interaction and Design by John H. Williamson, Antti Oulasvirta, Per Ola Kristensson, Nikola Banovic Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. Publisher 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. Author Biography 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 NordiCHI14, CoDIT14, EICS16, IHCI17, ICWE19 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. Nikola Banovic is Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan–Ann Arbor. He received his Ph.D. from the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and his B.Sc. and M.Sc. degrees from the University of Toronto. His research interests include computational approaches to studying human-computer interaction, with a focus on explainability and interpretability of complex computational systems, and ethical and equitable computing technologies. His publications include award-winning research on methods to study and model human behaviour in premier HCI conferences. Details ISBN 1108792707 ISBN-13 9781108792707 Title Bayesian Methods for Interaction and Design Author John H. Williamson, Antti Oulasvirta, Per Ola Kristensson, Nikola Banovic Format Paperback Year 2022 Pages 400 Publisher Cambridge University Press GE_Item_ID:136395547; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. 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End Time: 2025-01-31T03:38:46.000Z

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