Automatic Profile Generation for Visual-Impaired Users

Autores
Mazalu, Rafaela; Cechich, Alejandra; Martín, Adriana Elba
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Currently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
visual disabilities
User profiles and alert services
Intelligent agents
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nd/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/76484
Acceder
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spelling Automatic Profile Generation for Visual-Impaired UsersMazalu, RafaelaCechich, AlejandraMartín, Adriana ElbaCiencias Informáticasvisual disabilitiesUser profiles and alert servicesIntelligent agentsCurrently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2013-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf142-153http://sedici.unlp.edu.ar/handle/10915/76484enginfo:eu-repo/semantics/altIdentifier/url/http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASSE/11.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2792info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nd/3.0/Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:13:29Zoai:sedici.unlp.edu.ar:10915/76484Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:13:29.945SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Automatic Profile Generation for Visual-Impaired Users
title Automatic Profile Generation for Visual-Impaired Users
spellingShingle Automatic Profile Generation for Visual-Impaired Users
Mazalu, Rafaela
Ciencias Informáticas
visual disabilities
User profiles and alert services
Intelligent agents
title_short Automatic Profile Generation for Visual-Impaired Users
title_full Automatic Profile Generation for Visual-Impaired Users
title_fullStr Automatic Profile Generation for Visual-Impaired Users
title_full_unstemmed Automatic Profile Generation for Visual-Impaired Users
title_sort Automatic Profile Generation for Visual-Impaired Users
dc.creator.none.fl_str_mv Mazalu, Rafaela
Cechich, Alejandra
Martín, Adriana Elba
author Mazalu, Rafaela
author_facet Mazalu, Rafaela
Cechich, Alejandra
Martín, Adriana Elba
author_role author
author2 Cechich, Alejandra
Martín, Adriana Elba
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
visual disabilities
User profiles and alert services
Intelligent agents
topic Ciencias Informáticas
visual disabilities
User profiles and alert services
Intelligent agents
dc.description.none.fl_txt_mv Currently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description Currently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/76484
url http://sedici.unlp.edu.ar/handle/10915/76484
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASSE/11.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2792
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
dc.format.none.fl_str_mv application/pdf
142-153
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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