Modeling the user state for context-aware spoken interaction in ambient assisted living

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dc.contributor.author Griol Barres, David
dc.contributor.author Molina López, José Manuel
dc.contributor.author Callejas, Zoraida
dc.date.accessioned 2018-01-11T13:48:53Z
dc.date.available 2018-01-11T13:48:53Z
dc.date.issued 2014-06-01
dc.identifier.bibliographicCitation Applied Intelligence, (2014), 40(4), pp 749–771.
dc.identifier.issn 0924-669X
dc.identifier.uri http://hdl.handle.net/10016/26099
dc.description.abstract Ambient Assisted Living (AAL) systems must provide adapted services easily accessible by a wide variety of users. This can only be possible if the communication between the user and the system is carried out through an interface that is simple, rapid, effective, and robust. Natural language interfaces such as dialog systems fulfill these requisites, as they are based on a spoken conversation that resembles human communication. In this paper, we enhance systems interacting in AAL domains by means of incorporating context-aware conversational agents that consider the external context of the interaction and predict the user's state. The user's state is built on the basis of their emotional state and intention, and it is recognized by means of a module conceived as an intermediate phase between natural language understanding and dialog management in the architecture of the conversational agent. This prediction, carried out for each user turn in the dialog, makes it possible to adapt the system dynamically to the user's needs. We have evaluated our proposal developing a context-aware system adapted to patients suffering from chronic pulmonary diseases, and provide a detailed discussion of the positive influence of our proposal in the success of the interaction, the information and services provided, as well as the perceived quality.
dc.description.sponsorship This work was supported in part by Projects MINECO TEC2012-37832-C02-01, CICYT TEC2011-28626-C02- 02, CAM CONTEXTS (S2009/TIC-1485)
dc.format.extent 22
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.rights © Springer Science+Business Media New York 2014
dc.subject.other Ambient assisted living
dc.subject.other Context-awareness
dc.subject.other Emotions
dc.subject.other Human-computer interaction
dc.subject.other User adaptation
dc.subject.other Spoken interaction
dc.subject.other Web interfaces
dc.subject.other Dialog Systems
dc.subject.other HCI
dc.title Modeling the user state for context-aware spoken interaction in ambient assisted living
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1007/s10489-013-0503-z
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2012-37832-C02-01
dc.relation.projectID Gobierno de España. TEC2011-28626-C02-02
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 749
dc.identifier.publicationissue 4
dc.identifier.publicationlastpage 771
dc.identifier.publicationtitle Applied intelligence
dc.identifier.publicationvolume 40
dc.identifier.uxxi AR/0000015083
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