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:
python3 -m venv .env
source .env/bin/activate
python3 -m pip install -r requirements.txt
.env/bin/jupyter notebook
Use the Python3 kernel.
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}
}