Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/67059

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dc.contributor.authorPereira, Eduarda Manuel Barrospor
dc.contributor.authorCosta, Susana Raquel Pintopor
dc.contributor.authorCosta, Nélson Bruno Martins Marques dapor
dc.contributor.authorArezes, P.por
dc.date.accessioned2020-09-22T13:05:14Z-
dc.date.issued2019-01-
dc.identifier.isbn978-3-030-11050-5-
dc.identifier.issn2194-5357-
dc.identifier.urihttps://hdl.handle.net/1822/67059-
dc.description.abstractWorkload is an inescapable topic within the context of Human-Machine Interaction (HMI). Evolution dictates that HMI systems will be all the more attractive to users the more intuitive they are. While attempting to create an optimized workload management system, the authors have encountered a difficulty in gathering a homogeneous definition of workload and a standardized manner of measuring it. In fact, some researchers even call into question the fact that maybe different things are being discussed. Could it be the underlying cause of many of the HMI failures so far recorded? Either way, the weight this concept carries is too heavy to be dealt lightly. It is very important that standardized strategies for measurement of workload are developed so that, for one, different results can be compared and contribute to a more robust understanding of the concept and that, for two, the measurement of workload is globalized and able to be adapted to all users.por
dc.description.sponsorshipThis work has been supported by European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project nº 039334; Funding Reference: POCI-01-0247- FEDER-039334].por
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationPOCI-01-0247-FEDER-039334por
dc.rightsrestrictedAccesspor
dc.subjectMeasurementpor
dc.subjectCognitive workloadpor
dc.subjectADASpor
dc.subjectDriving Human factorspor
dc.subjectHMIpor
dc.subjectAutonomous vehiclespor
dc.subjectDrivingpor
dc.subjectHuman factorspor
dc.titleWeighing the importance of drivers’ workload measurement standardizationpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-11051-2_13por
oaire.citationStartPage82por
oaire.citationEndPage90por
oaire.citationVolume903por
dc.identifier.eissn2194-5365-
dc.identifier.doi10.1007/978-3-030-11051-2_13por
dc.date.embargo10000-01-01-
dc.identifier.eisbn978-3-030-11051-2-
dc.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.wosScience & Technologypor
sdum.journalAdvances in Intelligent Systems and Computingpor
sdum.conferencePublicationIntelligent human systems integration 2019: proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): integrating people and intelligent systemspor
oaire.versionAMpor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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