A model for incremental grounding in spoken dialogue systems View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-03

AUTHORS

Thomas Visser, David Traum, David DeVault, Rieks op den Akker

ABSTRACT

We present a computational model of incremental grounding, including state updates and action selection. The model is inspired by corpus-based examples of overlapping utterances of several sorts, including backchannels and completions. The model has also been partially implemented within a virtual human system that includes incremental understanding, and can be used to track grounding and provide overlapping verbal and non-verbal behaviors from a listener, before a speaker has completed her utterance. More... »

PAGES

61-73

References to SciGraph publications

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  • 1999. A Responsive Dialog System in MACHINE CONVERSATIONS
  • 2008. Modeling Embodied Feedback with Virtual Humans in MODELING COMMUNICATION WITH ROBOTS AND VIRTUAL HUMANS
  • 2011. Towards More Comprehensive Listening Behavior: Beyond the Bobble Head in INTELLIGENT VIRTUAL AGENTS
  • 2008. Multi-party, Multi-issue, Multi-strategy Negotiation for Multi-modal Virtual Agents in INTELLIGENT VIRTUAL AGENTS
  • 2010-01. A probabilistic multimodal approach for predicting listener backchannels in AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
  • 2012. Incremental Dialogue Understanding and Feedback for Multiparty, Multimodal Conversation in INTELLIGENT VIRTUAL AGENTS
  • 2006. Virtual Rapport in INTELLIGENT VIRTUAL AGENTS
  • 2007-05. Unleashing the killer corpus: experiences in creating the multi-everything AMI Meeting Corpus in LANGUAGE RESOURCES AND EVALUATION
  • 2011. Virtual Rapport 2.0 in INTELLIGENT VIRTUAL AGENTS
  • 2007-12. The analysis of embodied communicative feedback in multimodal corpora: a prerequisite for behavior simulation in LANGUAGE RESOURCES AND EVALUATION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12193-013-0147-7

    DOI

    http://dx.doi.org/10.1007/s12193-013-0147-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1017021599


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