Multifractality in typing as a marker of fatigue

Multifractality is a property of biological signals that is informative about the effectiveness of behavioural coordination. Since fatigue is known to undermine the ability to coordinate behavioural resources, we hypothesise that multifractal signatures may function as effective markers of fatigue. To further this line of research we conduct a study to investigate the association between fatigue and multifractal signatures during typing. We observe that multifractality in keystroke timings is significantly lower after exposure to a mentally fatiguing task, and that multifractal properties correlate with the degree of self-reported fatigue. We discuss the implications of this research for the development of unobtrusive, low cost fatigue monitoring and interventions, noting that multifractal analysis requires only the capture of input behaviour for the task, and that multifractality has been observed in a range of task-directed behaviours, not only typing. This points to the potential to infer fatigue via existing commodity input hardware, in a range of tasks. • Multifractal properties have promise for inferring fatigue during office tasks. • Fatigued typing is found to be significantly less multifractal. • The approach is unobtrusive, easy to deploy, and privacy supportive. • Potential applications in a range of tasks beyond typing.

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Publication Details

Journal
International Journal of Human-Computer Studies
Published
2025-08-18
DOI
https://doi.org/10.1016/j.ijhcs.2025.103595
Citations
1
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.86

Funders

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article

Multifractality in typing as a marker of fatigue

Oussama Metatla, Dan Bennett, Anne Roudaut
1 citations
International Journal of Human-Computer Studies
Engineering Diagnostics and Reliability
0.86
article

Multifractality in typing as a marker of fatigue

Oussama Metatla, Dan Bennett, Anne Roudaut
article en
1 citations

Abstract

Multifractality is a property of biological signals that is informative about the effectiveness of behavioural coordination. Since fatigue is known to undermine the ability to coordinate behavioural resources, we hypothesise that multifractal signatures may function as effective markers of fatigue. To further this line of research we conduct a study to investigate the association between fatigue and multifractal signatures during typing. We observe that multifractality in keystroke timings is significantly lower after exposure to a mentally fatiguing task, and that multifractal properties correlate with the degree of self-reported fatigue. We discuss the implications of this research for the development of unobtrusive, low cost fatigue monitoring and interventions, noting that multifractal analysis requires only the capture of input behaviour for the task, and that multifractality has been observed in a range of task-directed behaviours, not only typing. This points to the potential to infer fatigue via existing commodity input hardware, in a range of tasks. • Multifractal properties have promise for inferring fatigue during office tasks. • Fatigued typing is found to be significantly less multifractal. • The approach is unobtrusive, easy to deploy, and privacy supportive. • Potential applications in a range of tasks beyond typing.

International Journal of Human-Computer StudiesVol. 204
University of Bristol (GB)
UK Research and Innovation, European Commission, Engineering and Physical Sciences Research Council, European Research Council, HORIZON EUROPE European Research Council
Zero hunger
Openalex Percentile: Top 26%
Engineering Diagnostics and Reliability
0.86
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Multifractality in typing as a marker of fatigue — Oussama Metatla, Dan Bennett, et al. · International Journal of Human-Computer Studies (2025) | TGRS Research Map | TGRS