Bayesian methods for interaction and design / 
edited by John H. Williamson [and three others] 
 - Cambridge, United Kingdom :  Cambridge University Press,  c2022 
 - xii, 360 pages :  illustrations ;  24 cm. 
<br/><br/>Bayseian statistics / A. Dix --  Bayseian information gain to design interaction / W. Liu, O. Rioul, M Beaudouin-Lafon --  Bayseian command selection / S. Zhu, X. Fan, F. Tian, X. Bi. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781108792707 
<br/><br/><label>Subjects--Topical Terms: </label><br/>HUMAN ENGINEERING -- MATHEMATICS
<br/><br/><label>LC Class. No.: </label>TA 167 .B39 2022