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dc.contributor.authorMORENO, LOURDES
dc.contributor.authorVALENCIA PARAFITA, XABIER
dc.contributor.authorPérez, J. Eduardo
dc.contributor.authorArrue, Myriam
dc.date.accessioned2026-06-08T14:16:12Z
dc.date.available2026-06-08T14:16:12Z
dc.date.issued2021
dc.identifierhttps://link.springer.com/article/10.1007/s10209-020-00727-6#rightslinken
dc.identifier.issn1615-5289en
dc.identifier.issn1615-5297en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=159276en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14510
dc.description.abstractPeople with low vision may experience accessibility barriers when they interact with the web. The navigation strategies of low-vision users are explored in this article in order to select the appropriate accessibility techniques needed to design web interfaces for their benefit. First, a literature study and an observational study involving low-vision users were carried out. From these studies, a set of adaptation techniques were obtained, which were then evaluated by means of an exploratory study with the participation of twelve users with low vision. The results show that the advantages of some adaptation techniques varied depending on the type of assistive technology used by participants to access the web. Some of the applied adaptation techniques seem turned out to be helpful only for users who utilized screen magnifier software, but not for those using the browser zoom feature. New research hypotheses for a future experimental study have been obtained based on the results of the study presented in this article.en
dc.language.isoengen
dc.publisherSpringer Verlagen
dc.rights© 2020 Springer-Verlag GmbH Germanyen
dc.subjectLow visionen
dc.subjectUser interfacesen
dc.subjectAdaptation techniquesen
dc.subjectAssistive technologyen
dc.subjectWeb accessibilityen
dc.titleAn exploratory study of web adaptation techniques for people with low visionen
dcterms.accessRightshttp://purl.org/coar/access_right/c_14cben
dcterms.sourceUniversal Access in the Information Societyen
local.contributor.groupIngeniería del Software y Sistemases
local.description.peerreviewedtrueen
local.description.publicationfirstpage223en
local.description.publicationlastpage237en
local.identifier.doihttps://doi.org/10.1007/s10209-020-00727-6en
local.embargo.enddate2141-01-01
local.contributor.otherinstitutionhttps://ror.org/000xsnr85es
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept450en
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.funderIdentifierhttps://ror.org/038jjxj40 / http://data.crossref.org/fundingdata/funder/10.13039/501100010198en
oaire.fundingStreamIkertaldeen
oaire.fundingStreamPrograma estatal de fomento de la investigación científica y técnica de excelencia, subprograma estatal de generación del conocimiento, en el marco del plan estatal de investigación científica y técnica y de innovación 2013-2016, convocatoria 2017en
oaire.awardNumberIT980-16en
oaire.awardNumberTIN2017-85409-Pen
oaire.awardTitleAdian Research Groupen
oaire.awardTitleAplicación de aprendizaje automático a señales fisiológicas para facilitar la interacción de usuario y el control de dispositivosen
dc.unesco.clasificacionhttp://skos.um.es/unesco6/120317en


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