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Bayesian methods for interaction and design / edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan-Ann Arbor.

"Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about huma...

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Bibliographic Details
Online Access: Full Text (via Cambridge)
Other Authors: Williamson, John H., 1980- (Editor), Oulasvirta, Antti, 1979- (Editor), Kristensson, Per Ola (Editor), Banovic, Nikola, 1982- (Editor)
Format: Electronic eBook
Language:English
Published: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022.
Subjects:
Human-machine systems > Mathematical models.
Human engineering > Mathematics.
User interfaces (Computer systems)
Bayesian statistical decision theory.
Table of Contents:
  • Cover
  • Half-title
  • Title page
  • Copyright information
  • Contents
  • List of Contributors
  • Preface
  • Part I Introduction to Bayesian Methods
  • 1 An Introduction to Bayesian Methods for Interaction Design
  • 2 Bayesian Statistics
  • Part II Probabilistic Interfaces and Inference of Intent
  • 3 Bayesian Information Gain to Design Interaction
  • 4 Bayesian Command Selection
  • 5 Probabilistic UI Representation and Reasoning in Touch Interfaces
  • 6 Statistical Keyboard Decoding
  • 7 Human-Computer Interaction Design and Inverse Problems
  • Part III Bayesian Optimisation in Interaction Design
  • 8 Preferential Bayesian Optimisation for Visual Design
  • 9 Bayesian Optimisation of Interface Features
  • Part IV Bayesian Cognitive Modelling
  • 10 Cue Integration in Input Performance
  • 11 Bayesian Parameter Inference for Cognitive Simulators
  • Appendix: Mathematical Background and Notation

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