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Mental workload assessments in the assembly industry and the way forward: a literature review
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-8369-5471
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0003-2627-0079
2024 (English)In: International Journal of Human Factors and Ergonomics, ISSN 2045-7804, E-ISSN 2045-7812, Vol. 11, no 4, p. 412-438Article, review/survey (Refereed) Published
Abstract [en]

The rapid progress of automation within the assembly industry have improved efficiency and productivity but introduced new challenges. Operators physical tasks have been replaced by more cognitively demanding tasks. With increased global distribution, it is almost standard to offer an increased product variety and customisations require more cognitively complex work. Assessment of operators mental workload has gained interest since it can be used to optimise work performance, diminish errors and poor decision-making, reduce risk of employee absenteeism, and monitor operators health. Assessments today focus on either, subjective, physiological, or performance-based parameters to examine mental workload. The rapid literature review aims to map the domain of mental workload assessments, explicitly in the assembling industry, by targeting its history, preferences, and future trends. It investigates which assessments that have been employed historically. Secondly, examines the body of literature and potential instrument preferences. At last, explores future trends of mental workload assessments.

Place, publisher, year, edition, pages
InderScience Publishers, 2024. Vol. 11, no 4, p. 412-438
Keywords [en]
mental workload assessment, literature review, assembly, NASA-TLX, Industry 4.0
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
URN: urn:nbn:se:his:diva-24854DOI: 10.1504/IJHFE.2024.10069066ISI: 001413069900005Scopus ID: 2-s2.0-85217061262OAI: oai:DiVA.org:his-24854DiVA, id: diva2:1930065
Note

Online publication date: Fri, 31-Jan-2025

Available from: 2025-01-22 Created: 2025-01-22 Last updated: 2025-09-29Bibliographically approved

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Fogelberg, EmmieThorvald, PeterKolbeinsson, Ari

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