Bayesian methods in interaction design (tutorial)

John Williamson, Antti Oulasvirta, Per Ola Kristensson

Research output: Contribution to conferencePaperScientific

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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.

Original languageEnglish
Pages11-12
Number of pages2
DOIs
Publication statusPublished - 17 Mar 2020
MoE publication typeNot Eligible
EventInternational Conference on Intelligent User Interfaces - Cagliari, Italy
Duration: 17 Mar 202020 Mar 2020
Conference number: 25

Conference

ConferenceInternational Conference on Intelligent User Interfaces
Abbreviated titleIUI
CountryItaly
CityCagliari
Period17/03/202020/03/2020

Keywords

  • Bayesian
  • Filtering
  • Interaction design
  • Probabilistic

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