Multimodal measurement of the mental workload during an assembly and disassembly task.
Mental workload overload is a major cause of human error in industrial tasks such as maintenance. Human errors can compromise not only system safety but also lead to high social and economic costs, reduce equipment productivity, and cause incidents, accidents, and fatalities. To this day, we do not...
| Publicado en: | Theoretical Issues in Ergonomics Science Vol. 27; no. 1; pp. 89 - 105 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jan2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190859208&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190859208 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1463922X BDX jtl: Theoretical Issues in Ergonomics Science issn: 1463922X maglogo: Y pubinfo: dt: Jan2026 vid: 27 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 190859208 188536694 190859208 190859208 10.1080/1463922X.2025.2568138 190859208 ppf: 89 ppct: 16 formats: tig: atl: Multimodal measurement of the mental workload during an assembly and disassembly task. aug: au: Berthon, Lorrys Fleury, Sylvain Bernard, Fabien Paquin, Raphael Richir, Simon affil: Airbus Helicopters, Marignane, France sug: subj: Cognition Workload Task Performance and Analysis Evaluation Occupational Health Human Female Male Adult Questionnaires Biophysiological Methods Electrocardiography Descriptive Statistics Data Analysis Software Post Hoc Analysis Multivariate Analysis Mann-Whitney U Test T-Tests Clinical Laboratories Comparative Studies Human Error Heart Rate Variability Cardiovascular Diseases Adult: 19-44 years Female Male ab: Mental workload overload is a major cause of human error in industrial tasks such as maintenance. Human errors can compromise not only system safety but also lead to high social and economic costs, reduce equipment productivity, and cause incidents, accidents, and fatalities. To this day, we do not have an adequate assessment of mental workload in maintenance, which would help design maintenance processes more effectively by incorporating this crucial aspect. The objective of this study is to determine the ability of our indicators to measure mental workload during a disassembly and assembly task in a laboratory condition. Thirty-six participants performed a disassembly and assembly task under two different mental workload conditions. Subjective measures (NASA-TLX), performance metrics (number of errors), and cardiovascular data (heart rate, heart rate variability, and breathing rate) were analysed. We observed a higher number of errors and elevated NASA-TLX scores in the high mental workload condition. Regarding cardiovascular data, interesting trends in the temporal domain were observed despite mostly non-significant results. Although conducted in a laboratory, this multimodal mental workload measurement method is promising for diagnosing and understanding operators' cognitive behaviour, and deserves validation in real-world maintenance conditions. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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