Bayesian methods for interaction and design:
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-comp...
Gespeichert in:
| Weitere beteiligte Personen: | , , , |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY, USA
Cambridge University Press
2022
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| Links: | https://doi.org/10.1017/9781108874830 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (xii, 360 Seiten) |
| ISBN: | 9781108874830 |
Internformat
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| 245 | 0 | 0 | |a Bayesian methods for interaction and design |c 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 |
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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. | ||
| 700 | 1 | |a Banovic, Nikola |d 1982- | |
| 700 | 1 | |a Kristensson, Per Ola | |
| 700 | 1 | |a Oulasvirta, Antti |d 1979- | |
| 700 | 1 | |a Williamson, John H. |d 1980- | |
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| spelling | 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 Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2022 1 Online-Ressource (xii, 360 Seiten) txt c cr 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. Banovic, Nikola 1982- Kristensson, Per Ola Oulasvirta, Antti 1979- Williamson, John H. 1980- Erscheint auch als Druck-Ausgabe 9781108792707 Erscheint auch als Druck-Ausgabe 9781108834995 |
| spellingShingle | Bayesian methods for interaction and design |
| title | Bayesian methods for interaction and design |
| title_auth | Bayesian methods for interaction and design |
| title_exact_search | Bayesian methods for interaction and design |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | Bayesian methods for interaction and design |
| title_sort | bayesian methods for interaction and design |
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