How Suitable is Your Naturalistic Dataset for Theory-based User Modeling?

By Aini Putkonen, Aurélien Nioche, Ville Tanskanen, Arto Klami & Antti Oulasvirta

Copyright (c) 2021 Aalto University. All rights reserved.

Code repository accompanying the UMAP'22 paper entitled "How Suitable is Your Naturalistic Dataset for Theory-based User Modeling?", licensed under CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0).

Please run the following commands to use the attached notebook, or use your own environment:

Create virtual environment:

python3 -m venv .env

Activate virtual environment:

source .env/bin/activate

Install required packages:

python3 -m pip install -r requirements.txt

Run the notebook from:

.env/bin/jupyter notebook

Use the Python3 kernel.

Cite this work:

If you want to cite this work:

@inproceedings{putkonen2022naturalistic,
    author = {Putkonen, Aini and Nioche, Aur\'{e}lien and Tanskanen, Ville and Klami, Arto and Oulasvirta, Antti},
    title = {How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling?},
    year = {2022},
    isbn = {9781450392075},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3503252.3531322},
    doi = {10.1145/3503252.3531322},
    booktitle = {Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},
    pages = {179–190},
    numpages = {12},
    location = {Barcelona, Spain},
    series = {UMAP '22}
}