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Bayesian methods for interaction and design

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bayesian methods for interaction and designedited by John H. Williamson ... [et al.].
其他作者:	Williamson, John H.
出版者:	Cambridge, United Kingdom ; New York, NY, USA :Cambridge University Press,2022.
面頁冊數:	xii, 360 p. :ill., digital ;23 cm.
附註:	Title from publisher's bibliographic system (viewed on 02 Sep 2022).
標題:	Human-machine systemsMathematical models.
電子資源:	https://doi.org/10.1017/9781108874830
ISBN:	9781108874830

Bayesian methods for interaction and design
Bayesian methods for interaction and design[electronic resource] /edited by John H. Williamson ... [et al.]. - Cambridge, United Kingdom ; New York, NY, USA :Cambridge University Press,2022. - xii, 360 p. :ill., digital ;23 cm.

Title from publisher's bibliographic system (viewed on 02 Sep 2022).

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.

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.

ISBN: 9781108874830Subjects--Topical Terms:

930074
Human-machine systems
--Mathematical models.

LC Class. No.: TA167 / .B39 2022

Dewey Class. No.: 620.82

Bayesian methods for interaction and design
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