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Model-based Intelligent User Interface Adaptation: Challenges and Future Directions

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Model-based Intelligent User Interface Adaptation: Challenges and Future Directions

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dc.contributor.author Abrahao Gonzales, Silvia Mara es_ES
dc.contributor.author Insfran, Emilio es_ES
dc.contributor.author Sluyters, Arthur es_ES
dc.contributor.author Vanderdonckt, Jean es_ES
dc.date.accessioned 2022-09-30T18:07:07Z
dc.date.available 2022-09-30T18:07:07Z
dc.date.issued 2021-10 es_ES
dc.identifier.issn 1619-1366 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186800
dc.description.abstract [EN] Adapting the user interface of a software system to the requirements of the context of use continues to be a major challenge, particularly when users become more demanding in terms of adaptation quality. A considerable number of methods have, over the past three decades, provided some form of modelling with which to support user interface adaptation. There is, however, a crucial issue as regards in analysing the concepts, the underlying knowledge, and the user experience afforded by these methods as regards comparing their benefits and shortcomings. These methods are so numerous that positioning a new method in the state of the art is challenging. This paper, therefore, defines a conceptual reference framework for intelligent user interface adaptation containing a set of conceptual adaptation properties that are useful for model-based user interface adaptation. The objective of this set of properties is to understand any method, to compare various methods and to generate new ideas for adaptation. We also analyse the opportunities that machine learning techniques could provide for data processing and analysis in this context, and identify some open challenges in order to guarantee an appropriate user experience for end-users. The relevant literature and our experience in research and industrial collaboration have been used as the basis on which to propose future directions in which these challenges can be addressed. es_ES
dc.description.sponsorship This work is supported by the Spanish Ministry of Science, Innovation, and Universities under Grant No.: TIN2017-84550-R, Adapt@Cloud Project and by the Generalitat Valenciana under Grant No.: AICO/2020/113, UX-Adapt Project. Arthur Sluyters is funded by the "Fonds de la Recherche Scientifique - FNRS" under Grant n40001931. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Software & Systems Modeling es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Context of use es_ES
dc.subject Intelligent user interface es_ES
dc.subject Machine learning es_ES
dc.subject Model-based software engineering es_ES
dc.subject Model-driven engineering es_ES
dc.subject User interface adaptation es_ES
dc.subject Conceptual reference framework es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Model-based Intelligent User Interface Adaptation: Challenges and Future Directions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10270-021-00909-7 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84550-R/ES/ADAPTACION DINAMICA DE SERVICIOS CLOUD CENTRADA EN EL USUARIO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FNRS//n40001931/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2020%2F113//ADAPTACIÓN DE SERVICIOS CLOUD DIRIGIDA POR LA EXPERIENCIADEL USUARIO (UX-ADAPT)/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Abrahao Gonzales, SM.; Insfran, E.; Sluyters, A.; Vanderdonckt, J. (2021). Model-based Intelligent User Interface Adaptation: Challenges and Future Directions. Software & Systems Modeling. 20(5):1335-1349. https://doi.org/10.1007/s10270-021-00909-7 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10270-021-00909-7 es_ES
dc.description.upvformatpinicio 1335 es_ES
dc.description.upvformatpfin 1349 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 5 es_ES
dc.relation.pasarela S\441202 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Fonds de la Recherche Scientifique, Belgica es_ES
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