Klaipėdos universitetas logo


  • List of journals
  • About Publisher
  • Help
  • Sitemap
Login Register

  1. Home
  2. Journals
  3. csat
  4. Issues
  5. Volume 8 (2021)
  6. Adaptive User Interfaces and the Use of ...

Computational Science and Techniques

Submit your article Information
  • Article info
  • More
    Article info

Adaptive User Interfaces and the Use of Inference Methods
Volume 8 (2021), pp. 616–624
Rachelle Barrette   Ratvinder Grewal  

Authors

 
Placeholder
https://doi.org/10.15181/csat.v8i0.2186
Pub. online: 21 January 2021      Type: Article      Open accessOpen Access

Received
9 December 2020
Accepted
18 January 2021
Published
21 January 2021

Abstract

Bayesian Networks are used to model a user's behaviour. There is not much research on the use of Frequentist Inference to accomplish this same task. This paper aims to analyze and describe the differences between inference methods: Bayesian and Frequentist. A simulation was conducted using Conditional Probabilities that were drawn from the Drupal Usability Study that was conducted in 2012 to apply to both inference methods, Bayesian and Frequentist. Results from this simulation showed that for most probabilities, Bayesian and Frequentist values are reasonably close. Although more frequentist values were equal to 50% than Bayesian values. With this, it was deduced that for Adaptive User Interfaces, Bayesian Inference is a superior method to use.

PDF XML
PDF XML

Copyright
No copyright data available.

Keywords
Adaptive User Interfaces Bayesian Frequentist Inference

Metrics (since February 2021)
106

Article info
views

0

Full article
views

324

PDF
downloads

171

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Powered by PubliMill  •  Privacy policy