johnhw / cix_2022

Computational Interaction Summer School Notes, Saarbrucken, June 2022

CIX 2022: Bayesian HCI

• Computational Interaction Summer School Notes
• Saarbrucken, June 2022
• John H. Williamson, University of Glasgow

Notes

• This is a brief introduction to Bayesian methods for HCI. It encompasses:
  • Basic Bayesian philosophy and probability theory
  • Bayesian methods in the loop
  • Bayesian optimisation
  • Empirical analyis with Bayesian methods
  • Bayesian cognitive modelling
  • Visualisation and interaction with Bayesian models
• These notes are released under an MIT license.
• All notes are available as a Jupyter notebook.

Installing

I recommend having Anaconda pre-installed. To create a clean environment for these notes (my recommended approach):

• conda create -n cix_2022_jhw
• conda activate cix_2022_jhw
• conda install jupyter matplotlib numpy scipy seaborn pandas ipykernel
• pip install -r requirements.txt
• jupyter notebook

On Windows, pymc3 sometimes has trouble. Try:

    pip uninstall pymc3
    conda install pymc3 m2w64-toolchain -c conda-forge

Navigating

• Part I: Overview and admin
• Part II: Theory and practice
• Part III: Bayesian HCI