國立虎尾科技大學 |

Bayesian methods for interaction and design /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bayesian methods for interaction and design // edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan-Ann Arbor.
其他作者:	Williamson, John H.,
面頁冊數:	1 online resource (xii, 360 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 02 Sep 2022).
標題:	Human-machine systems - Mathematical models. -
電子資源:	https://doi.org/10.1017/9781108874830
ISBN:	9781108874830 (ebook)

Bayesian methods for interaction and design /
Bayesian methods for interaction and design /edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan-Ann Arbor. - 1 online resource (xii, 360 pages) :digital, PDF file(s).

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: 9781108874830 (ebook)Subjects--Topical Terms:

1218756
Human-machine systems
--Mathematical models.

LC Class. No.: TA167 / .B39 2022

Dewey Class. No.: 620.8/2

Bayesian methods for interaction and design /
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520 $a 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.
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700 1 $a Oulasvirta, Antti, $d 1979- $e editor. $3 1442354
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700 1 $a Banovic, Nikola, $d 1982- $e editor. $3 1442356
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