Human-based dynamics of mental workload in complicated systems

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dc.contributor.authorJafari, Mohammad-Javad
dc.contributor.authorZaeri, Farid
dc.contributor.authorJafari, Amir H.
dc.contributor.authorPayandeh Najafabadi, Amir T.
dc.contributor.authorHassanzadeh-Rangi, Narmin
dc.date.accessioned2020-02-17T13:46:10Z
dc.date.available2020-02-17T13:46:10Z
dc.date.issued2019-07-11
dc.description.abstractAs a dynamic system in which different factors affect human performance via dynamic interactions, mental workload needs a dynamic measure to monito r its factors and evidence in a complicated system, an approach that is lacking in the literature. The present study introduces a system dynamics-based model for designing feedback mechanisms related to the mental workload through literature review and content analysis of the previous studies. A human-based archetype of mental workload was detected from the data collection process. The archetype is presented at various stages, including dynamic theory, behavior over time, leverage points and model verification. The real validation of the dynamic model was confirmed in an urban train simulator. The dynamic model can be used to analyze the long-term behavior of the mental workload. Decision-makers can benefit from the developed archetypes in evaluating the dynamic impact of their decisions on accident prevention in the complicated systems.en
dc.identifier.issn1611-2156
dc.identifier.urihttp://hdl.handle.net/2003/38602
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20521
dc.language.isoen
dc.relation.ispartofseriesEXCLI Journal;Vol. 18 2019
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMental workloaden
dc.subjectErgonomicsen
dc.subjectArchetypeen
dc.subjectReviewen
dc.subjectSystem dynamicsen
dc.subject.ddc610
dc.titleHuman-based dynamics of mental workload in complicated systemsen
dc.typeText
dc.type.publicationtypearticle
dcterms.accessRightsopen access
eldorado.dnb.zdberstkatid2132560-1
eldorado.secondarypublicationtrue

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