User Experience Evaluation through Automatic A/B Testing

Autores
Gardey, Juan Cruz; Garrido, Alejandra
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The goal of this research is to develop an A/B testing method to automatically compare the user experience (UX) of alternative designs for a web application in a real context with a large number of users. The challenge that it poses is to find mechanisms to predict the UX with machine learning techniques. This submission outlines the motivation, research goal, current status and remaining work.
Materia
Ciencias de la Computación e Información
User Experience
User Interaction
A/B testing
Machine Learning
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/10704
Acceder
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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling User Experience Evaluation through Automatic A/B TestingGardey, Juan CruzGarrido, AlejandraCiencias de la Computación e InformaciónUser ExperienceUser InteractionA/B testingMachine LearningThe goal of this research is to develop an A/B testing method to automatically compare the user experience (UX) of alternative designs for a web application in a real context with a large number of users. The challenge that it poses is to find mechanisms to predict the UX with machine learning techniques. This submission outlines the motivation, research goal, current status and remaining work.2020-03info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10704enginfo:eu-repo/semantics/altIdentifier/doi/10.1145/3379336.3381514info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:22Zoai:digital.cic.gba.gob.ar:11746/10704Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:22.456CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv User Experience Evaluation through Automatic A/B Testing
title User Experience Evaluation through Automatic A/B Testing
spellingShingle User Experience Evaluation through Automatic A/B Testing
Gardey, Juan Cruz
Ciencias de la Computación e Información
User Experience
User Interaction
A/B testing
Machine Learning
title_short User Experience Evaluation through Automatic A/B Testing
title_full User Experience Evaluation through Automatic A/B Testing
title_fullStr User Experience Evaluation through Automatic A/B Testing
title_full_unstemmed User Experience Evaluation through Automatic A/B Testing
title_sort User Experience Evaluation through Automatic A/B Testing
dc.creator.none.fl_str_mv Gardey, Juan Cruz
Garrido, Alejandra
author Gardey, Juan Cruz
author_facet Gardey, Juan Cruz
Garrido, Alejandra
author_role author
author2 Garrido, Alejandra
author2_role author
dc.subject.none.fl_str_mv Ciencias de la Computación e Información
User Experience
User Interaction
A/B testing
Machine Learning
topic Ciencias de la Computación e Información
User Experience
User Interaction
A/B testing
Machine Learning
dc.description.none.fl_txt_mv The goal of this research is to develop an A/B testing method to automatically compare the user experience (UX) of alternative designs for a web application in a real context with a large number of users. The challenge that it poses is to find mechanisms to predict the UX with machine learning techniques. This submission outlines the motivation, research goal, current status and remaining work.
description The goal of this research is to develop an A/B testing method to automatically compare the user experience (UX) of alternative designs for a web application in a real context with a large number of users. The challenge that it poses is to find mechanisms to predict the UX with machine learning techniques. This submission outlines the motivation, research goal, current status and remaining work.
publishDate 2020
dc.date.none.fl_str_mv 2020-03
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10704
url https://digital.cic.gba.gob.ar/handle/11746/10704
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1145/3379336.3381514
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 13.070432

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