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Computer Mouse Movements as an Indicator of Work Stress: Longitudinal Observational Field Study

Banholzer, Nicolas; Feuerriegel, Stefan; Fleisch, Elgar; Bauer, Georg Friedrich; Kowatsch, Tobias (2021). Computer Mouse Movements as an Indicator of Work Stress: Longitudinal Observational Field Study. Journal of Medical Internet Research, 23(4):e27121.

Abstract

BACKGROUND

Work stress affects individual health and well-being. These negative effects could be mitigated through regular monitoring of employees' stress. Such monitoring becomes even more important as the digital transformation of the economy implies profound changes in working conditions.

OBJECTIVE

The goal of this study was to investigate the association between computer mouse movements and work stress in the field.

METHODS

We hypothesized that stress is associated with a speed-accuracy trade-off in computer mouse movements. To test this hypothesis, we conducted a longitudinal field study at a large business organization, where computer mouse movements from regular work activities were monitored over 7 weeks; the study included 70 subjects and 1829 observations. A Bayesian regression model was used to estimate whether self-reported acute work stress was associated with a speed-accuracy trade-off in computer mouse movements.

RESULTS

There was a negative association between stress and the two-way interaction term of mouse speed and accuracy (mean -0.32, 95% highest posterior density interval -0.58 to -0.08), which means that stress was associated with a speed-accuracy trade-off. The estimated association was not sensitive to different processing of the data and remained negative after controlling for the demographics, health, and personality traits of subjects.

CONCLUSIONS

Self-reported acute stress is associated with computer mouse movements, specifically in the form of a speed-accuracy trade-off. This finding suggests that the regular analysis of computer mouse movements could indicate work stress.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Epidemiology, Biostatistics and Prevention Institute (EBPI)
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Health Informatics
Language:English
Date:2 April 2021
Deposited On:17 Jan 2022 16:46
Last Modified:27 Oct 2024 02:35
Publisher:JMIR Publications
ISSN:1438-8871
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.2196/27121
Official URL:https://www.jmir.org/2021/4/e27121/PDF
PubMed ID:33632675
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  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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