Geintra

Departamento de electronica Universidad de Alcala

Líneas de investigación

Accede a información sobre la estructura de la actividad investigadora de Geintra.

Trabaja con nosotros

Accede a nuestra oferta actual de becas, tesis doctorales, contratos y trabajos fin de carrera.

Contacta con el grupo

Si desea contactar con nosotros, puede usar varios medios.

    Knowledge Combining Methodology for Dialogue Design in Spoken Language Systems

    TítuloKnowledge Combining Methodology for Dialogue Design in Spoken Language Systems
    Tipo de publicaciónJournal Article
    Año de publicación2005
    AutoresSan-Segundo, R, Montero, JM, Macias-Guarasa, J, Cordoba, R, Ferreiros, J, Pardo, JM
    Idioma de publicaciónEnglish
    Revista académicaInternational Journal of Speech Technology
    Volumen8
    Número1
    Páginas45-66
    Fecha de publicación01/2005
    Lugar de publicaciónThe Netherlands
    EditorialSpringer
    Palabras claveconfirmation subdialogues, dialogue design, dialogue evaluation, railway information system, user modeling
    ISSN1381-2416
    Resumen

    In this paper, we propose a strategy for designing dialogue managers in spoken dialogue systems for a
    restricted domain. This strategy combines several information sources intuition, observation and simulation, in order
    to maximize the adaptation within the system capability and the expectation of the user. These sources are combined
    by an iterative process consisting of five steps, where different dialogue alternatives are proposed and evaluated
    sequentially. The evaluation process includes different measures depending on the information required. Several
    measures are proposed and analyzed in each step.We also describe a user-modeling technique and an approach for
    designing the confirmation sub-dialogues based on recognition confidence measures. The knowledge-combining
    methodology is described and applied to a railway information system. In a subjective evaluation, users from the
    university gave the system a 3.9 score on a 5-point scale with an average call duration of 205 seconds. The employers
    of the railway company were more critical of the system. They gave it a score of 2.1 even though the system resolved
    more than half of the calls (57.8%) within an average call duration of three minutes (185 seconds).

    AdjuntoTamaño
    KnowledgeCombiningMethodology2005.pdf349.33 KB

    Geintra © 2008-2015

    Diseño web por Hazhistoria