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dc.rights.licenseAttribution 4.0 International
dc.contributor.authorApraiz Iriarte, Ainhoa
dc.contributor.authorLasa, Ganix
dc.contributor.otherMontagna, Francesca
dc.contributor.otherBlandino, Graziana
dc.contributor.otherTriviño-Tonato, Erika
dc.contributor.otherDacal-Nieto, Angel
dc.date.accessioned2024-02-02T08:53:15Z
dc.date.available2024-02-02T08:53:15Z
dc.date.issued2023
dc.identifier.issn2079-8954
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=173270
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6231
dc.description.abstractStress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This paper introduces a holistic and human-centered protocol to measure stress in manufacturing settings. The three-phased protocol integrates the analysis of physiological signals, performance indicators, and the human perception of stress. The protocol incorporates advanced techniques, such as electroencephalography (EEG), heart rate variability (HRV), galvanic skin response (GSR), and electromyography (EMG), to capture physiological responses associated with stress. Furthermore, the protocol considers performance indicators as an additional dimension of stress measurement. Indicators such as task execution time, errors, production rate, and other relevant performance metrics contribute to a comprehensive understanding of stress in manufacturing environments. The human perception of stress is also integrated into the protocol, recognizing the subjective experience of the individual. This component captures self-assessment and subjective reports, allowing for a more nuanced evaluation of stress levels. By adopting a holistic and human-centered approach, the proposed protocol aims to enhance our understanding of stress factors in manufacturing environments. The protocol was also applied in the automotive industry and plastic component manufacturing. The insights gained from this protocol can inform targeted interventions to improve worker well-being, productivity, and overall organizational performance.
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2023 The Authors
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectstress measurement
dc.subjectIndustry 5.0
dc.subjectexperimental protocol
dc.subjecthuman factors;
dc.subjectODS 3 Salud y bienestar
dc.subjectODS 8 Trabajo decente y crecimiento económico
dc.subjectODS 9 Industria, innovación e infraestructura
dc.titleAn Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2
dcterms.sourceSystems
local.contributor.groupCentro de Innovación en Diseño
local.description.peerreviewedtrue
local.identifier.doihttps://doi.org/10.3390/systems11090448
local.contributor.otherinstitutionCTAG Centro Tecnológico de Automoción de Galicia
local.source.detailsVol. 11. N. 9. N. Artículo 448. August, 2023
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
oaire.funderNameEuropean Commission
oaire.funderIdentifierhttps://ror.org/00k4n6c32 http://data.crossref.org/fundingdata/funder/10.13039/501100000780
oaire.fundingStreamEIT Manufacturing within the second Call for Innovation activities for the Business Plan 2023-2025
oaire.awardNumber23472
oaire.awardTitleSin información
oaire.awardURISin información


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