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Bayesian Methods in Interaction Design (Tutorial)

Year: 2020

Type: conference-paper

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.

Source: ACM International Conference on Intelligent User Interfaces (IUI)

DOI: 10.1145/3379336.3379354

Authors: John Williamson, Antti Oulasvirta, Per Ola Kristensson

Institutions: University of Glasgow, Aalto University, University of Cambridge

Language: English

Topic: Usability and User Interface Design

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3011498318

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