Collecting Data for Machine Learning on Office Workers’ Attention, Fatigue, Overload, and Stress during Computer Use

Rita Kovordanyi

2021

Abstract

Predicting a computer user’s covert cognitive state, such as attention, has previously proven to be difficult, as cognitive states are induced trough complex interaction of hidden brain processes that are difficult to capture in a traditional rule-based methods. An alternative approach to modeling cognitive states is through machine learning, which however, requires that a wide range of data is collected from the user. In this paper, we describe our software for collecting a wide range of data from office workers’ during everyday computer work. The data collection process is relatively unobtrusive, as it can be run as a background process on the user’s computer and does not require extensive computational resources. We conclude by discussing practical issues, such as data sample frequency, where one wants to strike a balance between good enough data quality for machine learning and unobtrusiveness for the user.

Paper Citation

in Harvard Style

Kovordanyi R. (2021). Collecting Data for Machine Learning on Office Workers’ Attention, Fatigue, Overload, and Stress during Computer Use. In Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork; ISBN 978-989-758-534-0, SciTePress, pages 468-476. DOI: 10.5220/0010727800003063

in Bibtex Style

@conference{smartwork21,
author={Rita Kovordanyi},
title={Collecting Data for Machine Learning on Office Workers’ Attention, Fatigue, Overload, and Stress during Computer Use},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork},
year={2021},
pages={468-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010727800003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: SmartWork
TI - Collecting Data for Machine Learning on Office Workers’ Attention, Fatigue, Overload, and Stress during Computer Use
SN - 978-989-758-534-0
AU - Kovordanyi R.
PY - 2021
SP - 468
EP - 476
DO - 10.5220/0010727800003063
PB - SciTePress