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Bayesian methods in interaction design (tutorial)
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A4 Artikkeli konferenssijulkaisussa
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en
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2
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pp. 11-12
Abstract
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.
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Williamson, J, Oulasvirta, A & Kristensson, P O 2020, 'Bayesian methods in interaction design (tutorial)', Paper presented at International Conference on Intelligent User Interfaces, Cagliari, Italy, 17/03/2020 - 20/03/2020 pp. 11-12. https://doi.org/10.1145/3379336.3379354