Evaluation of a User-Adapted Spoken Language Dialogue System: Measuring the Relevance of the Contextual Information Sources

Lucas Cuesta, Juan Manuel; Fernández Martínez, Fernando; Dragos Rada, G.; Lebai Lutfi, Syaheerah Binti y Ferreiros López, Javier (2011). Evaluation of a User-Adapted Spoken Language Dialogue System: Measuring the Relevance of the Contextual Information Sources. En: "3rd International Conference on Agents and Artificial Intelligence (ICAART 2011)", 28/01/2011 - 30/01/2011, Roma, Italia. pp. 218-223.

Descripción

Título: Evaluation of a User-Adapted Spoken Language Dialogue System: Measuring the Relevance of the Contextual Information Sources
Autor/es:
  • Lucas Cuesta, Juan Manuel
  • Fernández Martínez, Fernando
  • Dragos Rada, G.
  • Lebai Lutfi, Syaheerah Binti
  • Ferreiros López, Javier
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011)
Fechas del Evento: 28/01/2011 - 30/01/2011
Lugar del Evento: Roma, Italia
Título del Libro: Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011)
Fecha: 2011
Volumen: 1
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Electrónica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

We present an evaluation of a spoken language dialogue system with a module for the management of userrelated information, stored as user preferences and privileges. The flexibility of our dialogue management approach, based on Bayesian Networks (BN), together with a contextual information module, which performs different strategies for handling such information, allows us to include user information as a new level into the Context Manager hierarchy. We propose a set of objective and subjective metrics to measure the relevance of the different contextual information sources. The analysis of our evaluation scenarios shows that the relevance of the short-term information (i.e. the system status) remains pretty stable throughout the dialogue, whereas the dialogue history and the user profile (i.e. the middle-term and the long-term information, respectively) play a complementary role, evolving their usefulness as the dialogue evolves.

Más información

ID de Registro: 12832
Identificador DC: http://oa.upm.es/12832/
Identificador OAI: oai:oa.upm.es:12832
URL Oficial: http://www.icaart.org/ICAART2011/
Depositado por: Memoria Investigacion
Depositado el: 13 Dic 2012 11:17
Ultima Modificación: 21 Abr 2016 12:09
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