A proposal for the development of adaptive spoken interfaces to access the Web Articles uri icon

publication date

  • septiembre 2015

start page

  • 56

end page

  • 68

volume

  • 163

international standard serial number (ISSN)

  • 0925-2312

electronic international standard serial number (EISSN)

  • 1872-8286

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. (C) 2015 Elsevier B.V. All rights reserved.

keywords

  • Dialog systems
    Spoken interaction
    User modeling
    Adaptation
    Neural networks
    Statistical methodologies