Bayesian methods for interaction and design / edited by John H. Williamson [and three others]

Contributor(s):

Williamson, John H. ;Oulasvirta, Antti ;Kristensson, Per Ola ;Banovic, Nikola [editor;editor;editor;editor]

Material type: Text

TextPublication details: Cambridge, United Kingdom : Cambridge University Press, c2022Description: xii, 360 pages : illustrations ; 24 cmISBN:

9781108792707

Subject(s):

HUMAN ENGINEERING -- MATHEMATICS

LOC classification:

TA 167 .B39 2022

Contents:

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.

Summary: 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.

Item type:

Books

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	LRC - Graduate Studies General Circulation	Doctor in Information Technology	GC TA 167 .B39 2022 (Browse shelf(Opens below))	c.1	Available		NULIB000019292

Browsing LRC - Graduate Studies shelves, Shelving location: General Circulation, Collection: Doctor in Information Technology Close shelf browser (Hides shelf browser)

Previous	No cover image available				No cover image available
Previous	GC T 58.5 .D86 [2021] IT project management essentials /	GC T 58.5 .O84 2019 Information technology control and audit /	GC TA 345.5.A73 .L56 2022 Enterprise architecture for digital business transforming IT /	GC TA 167 .B39 2022 Bayesian methods for interaction and design /	GC TA 345 .R36 2020 Data science engineering /	GC TK 5105.8854 .D54 2022 Digital platform regulation : global perspectives on internet governance /

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.

There are no comments on this title.

to post a comment.