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...
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| Main Authors: | , |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York
Cambridge University Press
2022
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| Subjects: | |
| Links: | https://doi.org/10.1017/9781108874830 https://doi.org/10.1017/9781108874830 https://doi.org/10.1017/9781108874830 https://doi.org/10.1017/9781108874830 https://doi.org/10.1017/9781108874830 https://doi.org/10.1017/9781108874830 https://doi.org/10.1017/9781108874830 |
| 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. 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. |
| Physical Description: | 1 Online-Ressource (xii, 360 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781108874830 |
| DOI: | 10.1017/9781108874830 |
Staff View
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| spellingShingle | Williamson, John 1980- Kristensson, Per Ola 1979- Bayesian methods for interaction and design Human-machine systems / Mathematical models Human engineering / Mathematics User interfaces (Computer systems) Bayesian statistical decision theory Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
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| 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 |
| topic | Human-machine systems / Mathematical models Human engineering / Mathematics User interfaces (Computer systems) Bayesian statistical decision theory Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| topic_facet | Human-machine systems / Mathematical models Human engineering / Mathematics User interfaces (Computer systems) Bayesian statistical decision theory Mensch-Maschine-Kommunikation Bayes-Verfahren Aufsatzsammlung |
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