Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/34173

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dc.contributor.authorPimenta, Andrépor
dc.contributor.authorCarneiro, Davide Ruapor
dc.contributor.authorNovais, Paulopor
dc.contributor.authorNeves, Josépor
dc.date.accessioned2015-03-03T14:46:26Z-
dc.date.available2015-03-03T14:46:26Z-
dc.date.issued2015-
dc.identifier.citationPimenta, A., Carneiro, D., Novais, P., & Neves, J. (2015). Detection of Distraction and Fatigue in Groups through the Analysis of Interaction Patterns with Computers. Intelligent Distributed Computing Viii, 570, 29-39. doi: 10.1007/978-3-319-10422-5_5por
dc.identifier.isbn978-3-319-10421-8-
dc.identifier.issn1860-949X-
dc.identifier.urihttps://hdl.handle.net/1822/34173-
dc.description.abstractNowadays, our lifestyle can lead to a scatter of focus, especially when we attend to several tasks in parallel or have to filter the important information from all the remaining one. In the context of a computer this usually means interacting with several applications simultaneously. Over the day, this significant demand on our brain results in the emergence of fatigue, making an individual more prone to distractions. Good management of the working time and effort invested in each task, as well as the effect of breaks at work, can result in better performance and better mental health, delaying the effects of fatigue. This paper presents a non-intrusive and non-invasive method for measuring distraction and fatigue in an individual and in a group of people. The main aim is to allow team managers to better understand the state of their collaborators, thus preparing them to take better decisions concerning their management.por
dc.description.sponsorshipThis work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT - Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEISII/1386/2012). Referencespor
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/126449/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/COMPETE/126449/PT-
dc.rightsopenAccesspor
dc.subjectDistractionpor
dc.subjectFatiguepor
dc.subjectTask performancepor
dc.subjectBehavioural biometricspor
dc.subjectDistributed intelligencepor
dc.subjectPattern analysispor
dc.titleDetection of distraction and fatigue in groups through the analysis of interaction patterns with computerspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-10422-5_5por
sdum.publicationstatuspublishedpor
oaire.citationStartPage29por
oaire.citationEndPage39por
oaire.citationTitleStudies in computational intelligencepor
oaire.citationVolume570por
dc.identifier.doi10.1007/978-3-319-10422-5_5por
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.wosScience & Technologypor
sdum.journalStudies in Computational Intelligencepor
sdum.conferencePublicationStudies in computational intelligencepor
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