Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/13927
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dc.contributor.authorOliveira, I.-
dc.contributor.authorGuimarães, N.-
dc.date.accessioned2017-07-10T17:02:11Z-
dc.date.available2017-07-10T17:02:11Z-
dc.date.issued2013-
dc.identifier.issn0302-9743por
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-24591-
dc.identifier.urihttp://hdl.handle.net/10071/13927-
dc.description.abstractThis paper discusses opportunities and feasibility of integrating neurophysiologic analysis methods, based on electroencephalography (EEG), in the current landscape of usability evaluation methods. The rapid evolution and growing availability of low-cost, easier to use devices and the accumulated knowledge in feature extraction and processing algorithms allow us to foresee the practicality of this integration. The work presented in this paper is focused on reading and readability, identified as a key element of usability heuristics, and observable in the neurophysiologic signals' space. The experiments are primarily designed to address the discrimination of the reading activity (silent, attentive and continuous) and the verification of decreasing readability, associated with the user's mental workload analysis. The results obtained in the series of experiments demonstrate the validity of the approach for each individual user, and raise the problem of inter-subject variability and the need for designing appropriate calibration procedures for different users.por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F30681%2F2006/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/113660/PTpor
dc.rightsopenAccesspor
dc.subjectUsability analysispor
dc.subjectNeurophysiologic signalspor
dc.subjectEEGpor
dc.titlePractical neurophysiological analysis of readability as a usability dimensionpor
dc.typearticleen_US
dc.pagination194-211por
dc.publicationstatusPublicadopor
dc.peerreviewedyespor
dc.relation.publisherversionThe definitive version is available at: http://dx.doi.org/10.1007/978-3-642-39062-3_12por
dc.journalLecture Notes in Computer Sciencepor
dc.distributionInternacionalpor
dc.volume7946por
degois.publication.firstPage194por
degois.publication.lastPage211por
degois.publication.titleLecture Notes in Computer Sciencepor
dc.date.updated2017-07-10T17:00:29Z-
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