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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorAldalur, Iñigo
dc.contributor.authorPerez Riaño, Alain
dc.contributor.authorLarrinaga, Felix
dc.date.accessioned2021-09-06T10:06:46Z
dc.date.available2021-09-06T10:06:46Z
dc.date.issued2021
dc.identifier.issn2169-3536en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=164542en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5365
dc.description.abstractThe use of the World Wide Web has experienced extraordinary growth in the last decades. The Web has become the main source of information for millions of users. The number of websites offering content to users is countless. In order to personalise information according to their needs, users often have to visit multiple, unconnected pages. Users perform a number of actions to collect that information that requires concentration. If the number of Web resources is large, the activity becomes unpleasant. The problem increases when these tasks are performed frequently and repetitively. These tasks are time-consuming and lead users to experience frustration and disorientation during the activity, causing a loss of concentration that prolongs the activity over time. Web Augmentation combines different Web technologies to improve user experience on existing pages by adding content from different pages among other benefits. This article proposes Web Augmentation as a technique to reduce user interactions in repetitive tasks. To support the proposal, the paper introduces Excore, a browser extension for Web Augmentation that allows end-users to add content from different resources automatically. The article presents the benefits introduced by this approach as a response to the drawbacks experienced by users while performing their activities on the Web. The architecture of the platform and its operations are described by means of an example. A double evaluation of the extension is addressed, one qualitative and one quantitative. The results show that Excore reduces the number of interactions by 94.45% and the time to complete a task by 80.75%.es
dc.description.sponsorshipGobierno Vascoes
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2021 The authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectWeb augmentationen
dc.subjectAutomationen
dc.subjectend-user developmenten
dc.subjecthuman-computer interactionen
dc.subjectrepetitive tasksen
dc.titleWeb Augmentation as a Technique to Diminish User Interactions in Repetitive Tasksen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIEEE Accessen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.description.publicationfirstpage112686en
local.description.publicationlastpage112704en
local.identifier.doihttps://doi.org/10.1109/ACCESS.2021.3104187en
local.relation.projectIDGV/Ikertalde Convocatoria 2019-2021/IT1326-19/CAPV/Ingeniería de Software y Sistemas/en
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount1475 EUR 1750 USDen
local.source.detailsVol. 9. Pp. 112686-112704, 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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Except where otherwise noted, this item's license is described as Attribution 4.0 International