A framework to develop adaptive multimodal dialog systems for Android-based mobile devices

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dc.contributor.author Griol Barres, David
dc.contributor.author Molina López, José Manuel
dc.date.accessioned 2018-02-09T16:27:14Z
dc.date.available 2018-02-09T16:27:14Z
dc.date.issued 2014-06-11
dc.identifier.bibliographicCitation Polycarpou, Maios, et al (eds.) (2014). Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014: proceedings. (Lecture Notes in Computer Science, 8480). Springer, pp. 25-36
dc.identifier.isbn 978-3-319-07616-4
dc.identifier.uri http://hdl.handle.net/10016/26212
dc.description Proceedings of: 9th International Conference (HAIS 2014), Salamanca, Spain, June 11-13, 2014
dc.description.abstract Mobile devices programming has emerged as a new trend in software development. The main developers of operating systems for such devices have provided APIs for developers to implement their own applications, including different solutions for developing voice control. Android, the most popular alternative among developers, offers libraries to build interfaces including different resources for graphical layouts as well as speech recognition and text-to-speech synthesis. Despite the usefulness of such classes, there are no strategies defined for multimodal interface development for Android systems, and developers create ad-hoc solutions that make apps costly to implement and difficult to compare and maintain. In this paper we propose a framework to facilitate the software engineering life cycle for multimodal interfaces in Android. Our proposal integrates the facilities of the Android API in a modular architecture that emphasizes interaction management and context-awareness to build sophisticated, robust and maintainable applications.
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 11
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture Notes in Computer Science
dc.relation.ispartofseries 8480
dc.rights © Springer International Publishing Switzerland 2014
dc.subject.other Dialog systems
dc.subject.other Multimodal interaction
dc.subject.other Android
dc.subject.other Mobile devices
dc.subject.other User adaptation
dc.subject.other Statistical methodologies
dc.title A framework to develop adaptive multimodal dialog systems for Android-based mobile devices
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Informática
dc.subject.eciencia Telecomunicaciones
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.relation.eventdate June 11-13, 2014
dc.relation.eventplace Salamanca, Spain
dc.relation.eventtitle International Conference on Hybrid Artificial Intelligence Systems (HAIS 2014)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 25
dc.identifier.publicationlastpage 36
dc.identifier.publicationtitle Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014: proceedings
dc.identifier.uxxi CC/0000027449
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