Advertisement

A Multimodal Dialogue System for an Ambient Intelligent Application in Home Environments

  • Nieves Ábalos
  • Gonzalo Espejo
  • Ramón López-Cózar
  • Zoraida Callejas
  • David Griol
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6231)

Abstract

This paper presents a multimodal dialogue system called Mayordomo which aims at easing the interaction with home appliances using speech and a graphical interface within an Ambient Intelligence environment. We present the methods employed for implementing the system describing the design of the user-system interactions as well as additional features such as the management of user profiles to restrict the access to domestic appliances and customize the recognition grammars and the generated responses.

Keywords

spoken dialogue systems multimodal systems ambient intelligence automatic speech recognition spoken language understanding dialogue management text-to-speech synthesis 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Aghajan, H., Lopez-Cozar, R., Augusto, J.C.: Human-centric Interfaces for Ambient Intelligence. Academic Press, London (2010)Google Scholar
  2. 2.
    Haya, P.A., Montoro, G., Alaman, X.: A Prototype of a Context-Based Architecture for Intelligent Home Environments. CoopIS/DOA/ODBASE 1, 477–491 (2004)Google Scholar
  3. 3.
    Augusto, J.C.: Ambient Intelligence: Basic Concepts and Applications. Communications in Computer and Information Science, vol. 10, pp. 14–24. Springer, Heidelberg (2008)Google Scholar
  4. 4.
    Augusto, J.C., McCullagh, P.: Ambient Intelligence: Concepts and Applications. Int. J. Computer Science and Information Systems 4, 1–28 (2007)CrossRefGoogle Scholar
  5. 5.
    Ramos, C., Augusto, J.C., Shapiro, D.: Ambient Intelligence – The Next Step for Artificial Intelligence. IEEE Intelligent Systems 23(2), 15–18 (2008)CrossRefGoogle Scholar
  6. 6.
    IST Advisory Group (2001). The European Union Report, Scenarios for Ambient Intelligence (2010)Google Scholar
  7. 7.
    Garcia-Herranz, M., Haya, P., Esquivel, A., Montoro, G., Alaman, X.: Easing the Smart Home: Semi-automatic Adaptation in Perceptive Environments. Journal of Universal Computer Science 14(9), 1529–1544 (2008)Google Scholar
  8. 8.
    Alaman, X., Haya, P., Montoro, G.: El proyecto InterAct: Una arquitectura de pizarra para la implementacion de Entornos Activos. In: Proc of. Congreso de Interaccion Persona-Ordenador (Interaccion 2001), Salamanca, Spain, pp. 72–73 (2001)Google Scholar
  9. 9.
    Arroyo, R.F., Gea, M., Garrido, J.L., Haya, P.A.: Development of Ambient Intelligence Systems Based on Collaborative Task Models. Journal of Universal Computer Science 14(9), 1545–1559 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Nieves Ábalos
    • 1
    • 2
  • Gonzalo Espejo
    • 1
    • 2
  • Ramón López-Cózar
    • 1
    • 2
  • Zoraida Callejas
    • 1
    • 2
  • David Griol
    • 1
    • 2
  1. 1.Dept. of LSICITIC-UGR, University of GranadaSpain
  2. 2.Dept. of Computer ScienceCarlos III University of MadridSpain

Personalised recommendations