Mental workload assessment in workers using the SWAT test
DOI:
https://doi.org/10.55204/trc.v6i1.e598Keywords:
Mental workload, SWAT, prevention, workersAbstract
Mental workload is the cognitive effort a person exerts to attend to, think about, and make decisions at work. When it is high, it can lead to fatigue and negatively impact well-being and job performance. This study aimed to evaluate the mental workload of employees at Soluciones Integrales de Ingeniería. The SAWT test was administered to a population of 24 employees. Mental workload levels and their dimensions were analyzed as low, medium, and high, and their relationship with sociodemographic variables was also examined. The results showed a mental workload of: 64% medium and 36% high. The instrument demonstrated good internal consistency (Cronbach's alpha = 0.810) and very poor sample acceptance (KMO = 0.421), suggesting that increasing the number of respondents would confirm its reliability. Regarding the correlations of sociodemographic variables, dimensions and mental workload with Chi square, there is no correlation. It is concluded that there is a significant presence of medium-high mental workload among the evaluated workers, highlighting the need to implement preventive strategies. Among these, reducing exposure time and implementing active breaks are recommended as administrative measures within the company.
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Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bassi, G. (2025). Understanding workers’ well-being and cognitive load in workplace contexts. ScienceDirect.
Brod, C. (1984). Technostress: The human cost of the computer revolution. Addison-Wesley.
Cabezas-Heredia, E., Molina-Granja, F., Montenegro-Bosquez, G., Salazar, M., Santillán-Lima, J., Ramirez, S., & Cachay-Boza, O. (2023). Assessment of technological stress levels in university staff: case study. EAI Endorsed Transactions on Pervasive Health and Technology, 9(1).
Ganster, D. C., & Rosen, C. C. (2013). Work stress and employee health: A multidisciplinary review. Journal of Management, 39(5), 1085–1122. https://doi.org/10.1177/0149206313475815
Grandjean, E. (1988). Fitting the task to the man: A textbook of occupational ergonomics (4th ed.). Taylor & Francis.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. En P. A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 139–183). North Holland Press.
Häusser, J. A., Mojzisch, A., Niesel, M., & Schulz-Hardt, S. (2010). Ten years on: A review of recent research on the job demand–control (–support) model and psychological well-being. Work & Stress, 24(1), 1–35. https://doi.org/10.1080/02678371003683747
International Organization for Standardization. (2017). ISO 10075-1: Ergonomic principles related to mental workload – Part 1: General terms and definitions. ISO.
Johnson, J. V., & Hall, E. M. (1988). Job strain, work place social support, and cardiovascular disease: A cross-sectional study of a random sample of the Swedish working population. American Journal of Public Health, 78(10), 1336–1342. https://doi.org/10.2105/AJPH.78.10.1336
Karasek, R., & Theorell, T. (1990). Healthy work: Stress, productivity, and the reconstruction of working life. Basic Books.
Longo, L., Wickens, C. D., Hancock, P. A., & Hancock, G. M. (2022). Human mental workload: A survey and a novel inclusive definition. Frontiers in Psychology, 13, 883321. https://doi.org/10.3389/fpsyg.2022.883321
Luthans, F., Youssef, C. M., & Avolio, B. J. (2007). Psychological capital: Developing the human competitive edge. Oxford University Press.
McEwen, B. S. (2007). Physiology and neurobiology of stress and adaptation: Central role of the brain. Physiological Reviews, 87(3), 873–904. https://doi.org/10.1152/physrev.00041.2006
Nourollahi-Darabad, M., et al. (2024). Psychosocial and demographic factors impacting mental workload. Journal of Occupational Psychology.
Ossa Cornejo, C. (2023). Salud mental y carga mental de trabajo en contextos laborales. Revista de Ergonomía Psicosocial.
Reid, G. B., & Nygren, T. E. (1988). The Subjective Workload Assessment Technique (SWAT): A scaling procedure for measuring mental workload. En P. A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 185–218). North-Holland.
Scientometric Analysis of Research Work on Mental Workload. (2025). Administrative Sciences, 15(11), 450.
Selye, H. (1976). The stress of life (Rev. ed.). McGraw-Hill.
Tarafdar, M., Pullins, E. B., & Ragu-Nathan, T. S. (2015). Technostress: Negative effect on performance and possible mitigations.
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
Wagnild, G. M., & Young, H. M. (1993). Development and psychometric evaluation of the resilience scale. Journal of Nursing Measurement, 1(2), 165–178.
Wickens, C. D. (2008). Multiple resources and mental workload. Human Factors, 50(3), 449–455. https://doi.org/10.1518/001872008X288394
Young, M. S., Brookhuis, K. A., Wickens, C. D., & Hancock, P. A. (2021). State of science: Mental workload in ergonomics. Ergonomics, 64(4), 1–18.
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