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dc.rights.licenseAttribution-NonCommercial 4.0 International*
dc.contributor.authorVALENCIA PARAFITA, XABIER
dc.contributor.otherYera, Ainhoa
dc.contributor.otherPerona, Iñigo
dc.contributor.otherArbelaitz Gallego, Olatz
dc.contributor.otherMuguerza Rivero, Javier
dc.contributor.otherPérez López, Juan Eduardo
dc.date.accessioned2021-04-27T10:48:40Z
dc.date.available2021-04-27T10:48:40Z
dc.date.issued2021
dc.identifier.issn2192-1962en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=163367en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5281
dc.description.abstractThe current importance of digital competence makes it essential to enable people with disabilities to use digital devices and applications and to automatically adapt site interactions to their needs. Although most of the current adaptable solutions make use of predefined user profiles, automatic detection of user abilities and disabilities is the foundation for building adaptive systems. This work contributes to diminishing the digital divide for people with disabilities by detecting the web navigation problems of users with physical disabilities based on a two-step strategy. The system is based on web user interaction data collected by the RemoTest platform and a complete data mining process applied to the data. First, the device used for interaction is recognized, and then, the problems the user may be having while interacting with the computer are detected. Identification of the device being used and the problems being encountered will allow the most adequate adaptation to be deployed and thus make the navigation more accessible.en
dc.language.isoengen
dc.publisherKorea Information Processing Society-Computer Software Research Groupen
dc.rights© 2021 The authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectAccesibilityen
dc.subjectAdaptive Systemsen
dc.subjectWeb Miningen
dc.subjectMachine learningen
dc.titleAutomatic Web Navigation Problem Detection Based on Client-Side Interaction Dataen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceHuman-centric Computing and Information Sciencesen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.22967/HCIS.2021.11.017en
local.rights.publicationfeeAPCen
local.contributor.otherinstitutionUPV/EHUes
local.source.detailsVol. 11. N. 17, 2021en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International