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Cognitive workload and fatigue in a human-robot collaborative assembly workstation: A pilot study

dc.contributor.authorSantos, Joana
dc.contributor.authorFerraz, Mariana
dc.contributor.authorPinto, Ana
dc.contributor.authorRocha, Luís Freitas
dc.contributor.authorCosta, Carlos M.
dc.contributor.authorSimões, Ana Correia
dc.contributor.authorBombeke, Klass
dc.contributor.authorVaz, Mário
dc.date.accessioned2024-01-24T16:35:55Z
dc.date.available2024-01-24T16:35:55Z
dc.date.issued2023-07
dc.description.abstractIndustry 5.0 represents a novel approach that builds upon the advancements of Industry 4.0 and is aimed at fostering a more harmonious relationship between humans and machines to prioritize resource efficiency and user-centered manufacturing.Objective: This paper presents a study, integrated in the COBOSHe project, for assessing and analyzing the cognitive workload and fatigue, using heart rate (HR) and a perceived scale related to fatigue, in a car engine assembly in which a robot and ahuman operator are performing tasks in a shared workspace. For this purpose, a sample of 30 subjects were divided into two groups, with group A having read the assembly instructions before the usage of the assembly workstation and group B without having any previous knowledge about the car engine. The data analysis was carried out using descriptive and inferential statistics (Kruskal-Wallis’s test and Spearman's correlation test) in the IBM SPSS Statistics software, version 28.0. The results showed thatHRand perceived fatigue didn’t had statistical differences between groups(p=0.380). There is insufficient statistical evidence, to state that the subscales of SOFI are not identical between the two groups(p >0.05). Therefore, we conclude that the usage of the augmented reality system in the assembly workstation for providing on demand instructions was intuitive and allowed the operators to learn how to assemble the car engine without requiring any previous knowledge about the assembly process. This type of study allows to improve collaborative workstations, as it increases the efficiency and productivity of production lines.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSantos, J., Ferraz, M., Pinto, A., Rocha, L., Costa, C., Simões, A., Bombeke, K., & Vaz, M. (2023). Cognitive workload and fatigue in a human-robot collaborative assembly workstation: A pilot study. Em P. Arezes, J. S. Baptista, R. Melo, M. Barroso, J. C. Branco, P. Carneiro, A. Colim, N. Costa, S. Costa, J. Duarte, J. Guedes, & G. Perestrelo, Eds.; Vol. 1, pp. 327–334). Sociedade Portuguesa de Segurança e Higiene Ocupacionais(SPOSHO). https://doi.org/10.24840/978-989-54863-4-2_0327-0334pt_PT
dc.identifier.doi10.24840/978-989-54863-4-2_0327-0334pt_PT
dc.identifier.isbn978-989-54863-4-2
dc.identifier.urihttp://hdl.handle.net/10400.22/24640
dc.language.isoengpt_PT
dc.publisherSociedade Portuguesa de Segurança e Higiene Ocupacionais(SPOSHO)pt_PT
dc.relation.publisherversionhttps://books.fe.up.pt/index.php/feup/catalog/view/978-989-54863-4-2/332/425pt_PT
dc.subjectMental workloadpt_PT
dc.subjectIndustry 5.0pt_PT
dc.subjectAssembly workpt_PT
dc.subjectHuman-robot interactionpt_PT
dc.titleCognitive workload and fatigue in a human-robot collaborative assembly workstation: A pilot studypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarães - Portugalpt_PT
oaire.citation.endPage334pt_PT
oaire.citation.startPage327pt_PT
oaire.citation.titleInternational Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2023pt_PT
oaire.citation.volume1pt_PT
person.familyNameSantos
person.familyNameFerraz
person.givenNameJoana
person.givenNameMariana
person.identifier.ciencia-id0B12-58BF-915C
person.identifier.ciencia-id5A1B-8342-AF8A
person.identifier.orcid0000-0002-2777-3244
person.identifier.orcid0009-0002-0105-7669
person.identifier.scopus-author-id56746987300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa4cdd7ab-26fd-4c58-911b-617fd5d85c39
relation.isAuthorOfPublication2e46e575-2c35-4481-93fa-dbc81b93be75
relation.isAuthorOfPublication.latestForDiscoverya4cdd7ab-26fd-4c58-911b-617fd5d85c39

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