Bayesian Methods for Interaction and Design - Brossura

 
9781108792707: Bayesian Methods for Interaction and Design
Brossura
ISBN 10: 1108792707 ISBN 13: 9781108792707
Casa editrice: Cambridge University Press, 2022

Sinossi

Introduces Bayesian methods and their implementation in application ranging from pointing-based interfaces to modelling cognitive processes.

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Informazioni sugli autori

John H. Williamson is Senior Lecturer in Computing Science at the University of Glasgow. He holds B.Sc. and Ph.D. degrees from the University of Glasgow. His Ph.D. thesis was on continuous models of interactive systems with uncertainty. He is an expert in modelling and machine learning for continuous-control interfaces, multimodal feedback and uncertainty in interactive systems. His work is widely recognised, with several awards at the ACM SIGCHI conference. He is among the leaders of the Computational Interaction movement, and founded the international Summer School on Computational Interaction.

Antti Oulasvirta is Professor of Electrical Engineering and leads the User Interfaces research group at Aalto University and the Interactive AI research program at the Finnish Center for AI. He was previously Senior Researcher at the Max Planck Institute for Informatics. His work has been awarded the Best Paper Award and Best Paper Honorable Mention at CHI 13 times. He has given keynotes at NordiCHI'14, CoDIT'14, EICS'16, IHCI'17, ICWE'19 and Chinese CHI '19. He is a member of the European Laboratory for Learning and Intelligent Systems and of the Finnish Academy of Science and Letters.

Per Ola Kristensson is Professor of Interactive Systems Engineering in the Department of Engineering at the University of Cambridge and a Fellow of Trinity College, Cambridge. In 2007 he co-founded ShapeWriter to commercialise gesture keyboard technology based on his Ph.D. thesis. ShapeWriter won a Google Android ADC50 developer award and was selected as the 8th best iPhone application by Time in 2008. Kristensson has been named an Innovator Under 35 by MIT Technology Review and awarded the ACM UIST Lasting Impact Award, the Royal Society of Edinburgh Early Career Prize, and the Sir Thomas Makdougall Brisbane Medal. He is an Associate Editor of ACM TOCHI and ACM TIIS.

Nikola Banovic is Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan–Ann Arbor. He received his Ph.D. from the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and his B.Sc. and M.Sc. degrees from the University of Toronto. His research interests include computational approaches to studying human-computer interaction, with a focus on explainability and interpretability of complex computational systems, and ethical and equitable computing technologies. His publications include award-winning research on methods to study and model human behaviour in premier HCI conferences.

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Editore
Cambridge University Press
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
1108792707
ISBN 13 
9781108792707
Rilegatura
Copertina flessibile
Numero di pagine
374
Redattore
Williamson John H.
Contatto del produttore
non disponibile
Persona responsabile
Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
Francia

Altre edizioni note dello stesso titolo

9781108834995: Bayesian Methods for Interaction and Design

Edizione in evidenza

ISBN 10:  110883499X ISBN 13:  9781108834995
Casa editrice: Cambridge University Press, 2022
Rilegato