Merging Intention and Emotion to Develop Adaptive Dialogue Systems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011-08-12

AUTHORS

Zoraida Callejas , David Griol , Ramón López-Cózar , Gonzalo Espejo , Nieves Ábalos

ABSTRACT

In this paper we propose a method for merging intentional and emotional information in spoken dialogue systems in order to make dialogue managers more efficient and adaptive. The prediction of the user intention and emotion is carried out for each user turn in the dialogue by means of a module conceived as an intermediate phase between natural language understanding and dialogue management in the architecture of these systems. We have applied and evaluated our method in the UAH system, for which the evaluation results show that merging both sources of information improves system performance as well as its perceived quality. More... »

PAGES

165-174

References to SciGraph publications

  • 2008. Adaptive Dialogue Management in the NIMITEK Prototype System in PERCEPTION IN MULTIMODAL DIALOGUE SYSTEMS
  • 2010-03. Emotion recognition and adaptation in spoken dialogue systems in INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY
  • 2005. Grounding Emotions in Human-Machine Conversational Systems in INTELLIGENT TECHNOLOGIES FOR INTERACTIVE ENTERTAINMENT
  • Book

    TITLE

    Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop

    ISBN

    978-1-4614-1334-9
    978-1-4614-1335-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-4614-1335-6_18

    DOI

    http://dx.doi.org/10.1007/978-1-4614-1335-6_18

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1008835854


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