Bayesian Methods in Interaction Design (Tutorial)

Williamson, J. , Oulasvirta, A. and Kristensson, P. O. (2020) Bayesian Methods in Interaction Design (Tutorial). In: 25th International Conference on Intelligent User Interfaces Companion, Cagliari, Italy, 17-20 Mar 2020, pp. 11-12. ISBN 9781450375139 (doi:10.1145/3379336.3379354)

Full text not currently available from Enlighten.


This tutorial introduces Bayesian computational approaches to interaction and design. Bayesian methods offer a powerful approach for interactive settings with uncertainty and noise. This course introduces the theory and practice of computational Bayesian interaction, covering inference of user data and design/adaptation of interface features based around probabilistic inference. The tutorial is built around hands-on Python programming with modern computational tools, interleaved with theory and practical examples grounded in problems of wide interest in human-computer interaction.

Item Type:Conference Proceedings
Additional Information:** From Crossref via Jisc Publications Router ** History: epub 17-03-2020; ppub 17-03-2020; issued 17-03-2020.
Glasgow Author(s) Enlighten ID:Williamson, Dr John
Authors: Williamson, J., Oulasvirta, A., and Kristensson, P. O.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Proceedings of the 25th International Conference on Intelligent User Interfaces Companion

University Staff: Request a correction | Enlighten Editors: Update this record