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dc.contributor.authorTirnauca, Cristina 
dc.contributor.authorDuque Medina, Rafael 
dc.contributor.authorMontaña Arnaiz, José Luis 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2018-03-12T13:18:52Z
dc.date.available2018-03-12T13:18:52Z
dc.date.issued2017-07-20
dc.identifier.issn1424-8220
dc.identifier.otherMTM2014-55262-Pes_ES
dc.identifier.urihttp://hdl.handle.net/10902/13275
dc.description.abstractAbstract A relevant goal in human-computer interaction is to produce applications that are easy to use and well-adjusted to their users' needs. To address this problem it is important to know how users interact with the system. This work constitutes a methodological contribution capable of identifying the context of use in which users perform interactions with a groupware application (synchronous or asynchronous) and provides, using machine learning techniques, generative models of how users behave. Additionally, these models are transformed into a text that describes in natural language the main characteristics of the interaction of the users with the system.es_ES
dc.description.sponsorshipThis work was partially supported by project PAC::LFO (MTM2014-55262-P) of Ministerio de Ciencia e Innovación (MICINN), Spain. We are grateful to the referees for their constructive input.es_ES
dc.format.extent15 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSensors, 2017, 17 (7), 1669es_ES
dc.titleUser interaction modeling and profile extraction in interactive systems : a groupware application case studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOIhttp://dx.doi.org/10.3390/s17071669
dc.type.versionpublishedVersiones_ES


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Atribución 4.0 InternacionalExcept where otherwise noted, this item's license is described as Atribución 4.0 Internacional