Modeling Users Emotional State for an Enhanced Human-Machine Interaction View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

David Griol , José Manuel Molina

ABSTRACT

Spoken conversational agents have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this paper, we propose a framework to model the user’s emotional state during the dialog and adapt the dialog model dynamically, thus developing more efficient, adapted, and usable conversational agents. We have evaluated our proposal developing a user-adapted agent that facilitates touristic information, and provide a detailed discussion of the positive influence of our proposal in the success of the interaction, the information and services provided, as well as the perceived quality. More... »

PAGES

357-368

References to SciGraph publications

  • 2010-03. Emotion recognition and adaptation in spoken dialogue systems in INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY
  • 2012. Development of Interactive Virtual Voice Portals to Provide Municipal Information in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE
  • 2005. Grounding Emotions in Human-Machine Conversational Systems in INTELLIGENT TECHNOLOGIES FOR INTERACTIVE ENTERTAINMENT
  • 2010. Proactive Spoken Dialogue Interaction in Multi-Party Environments in NONE
  • Book

    TITLE

    Hybrid Artificial Intelligent Systems

    ISBN

    978-3-319-19643-5
    978-3-319-19644-2

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-19644-2_30

    DOI

    http://dx.doi.org/10.1007/978-3-319-19644-2_30

    DIMENSIONS

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