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A proposal for the development of adaptive spoken interfaces to access the Web
- Source :
- e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Spoken dialog systems have been proposed as a solution to facilitate a more natural human–machine interaction. In this paper, we propose a framework to model the user׳s intention during the dialog and adapt the dialog model dynamically to the user needs and preferences, thus developing more efficient, adapted, and usable spoken dialog systems. Our framework employs statistical models based on neural networks that take into account the history of the dialog up to the current dialog state in order to predict the user׳s intention and the next system response. We describe our proposal and detail its application in the Let׳s Go spoken dialog system. Work partially supported by Projects MINECO TEC2012-37832- C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/ TIC-1485)
- Subjects :
- Dialog Systems
Informática
User modeling
Spoken interaction
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.,HCI)
Computer science
Cognitive Neuroscience
Semantic interpretation
computer.software_genre
Computer Science Applications
World Wide Web
Statistical methodologies
InformationSystems_MODELSANDPRINCIPLES
Artificial Intelligence
Order (business)
Adaptation
Dialog box
Dialog system
Adaptation (computer science)
computer
Neural networks
Spoken dialog systems
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 163
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi.dedup.....91bd3a41c54c5a52cbdccef01a452da2
- Full Text :
- https://doi.org/10.1016/j.neucom.2014.09.087