Publication:
A neural network approach to intention modeling for user-adapted conversational agents

dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Grupo de Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorGriol Barres, David
dc.contributor.authorCallejas, Zoraida
dc.date.accessioned2023-10-24T14:03:05Z
dc.date.available2023-10-24T14:03:05Z
dc.date.issued2016-12
dc.description.abstractSpoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's intention during the dialogue and uses this prediction to dynamically adapt the dialogue model of the system taking into consideration the user's needs and preferences. We have evaluated our proposal to develop a user-adapted spoken dialogue system that facilitates tourist information and services and provide a detailed discussion of the positive influence of our proposal in the success of the interaction, the information and services provided, and the quality perceived by the users.en
dc.format.extent11
dc.identifier.bibliographicCitationGriol, D., & Callejas, Z. (2016). A neural network approach to intention modeling for User-Adapted Conversational Agents. Computational Intelligence and Neuroscience, 2016:8402127, 1-11.en
dc.identifier.doihttps://doi.org/10.1155/2016/8402127
dc.identifier.issn1687-5265
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue8402127
dc.identifier.publicationlastpage11
dc.identifier.publicationtitleComputational Intelligence and Neurosciencees
dc.identifier.publicationvolume2016
dc.identifier.urihttps://hdl.handle.net/10016/38671
dc.identifier.uxxiAR/0000017703
dc.language.isoengen
dc.publisherHindawien
dc.rights© 2016 David Griol and Zoraida Callejas.es
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaInformáticaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherDialogue managementen
dc.subject.otherSystemen
dc.subject.otherSpeechen
dc.subject.otherRecognitionen
dc.subject.otherInformationen
dc.subject.otherStrategiesen
dc.subject.otherFeaturesen
dc.subject.otherDesignen
dc.titleA neural network approach to intention modeling for user-adapted conversational agentsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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