dc.creatorGravano, Agustín
dc.creatorJul Vidal, Claudia A.
dc.date2014-11
dc.date2014-11
dc.date2014-10-21T15:00:19Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/41661
dc.identifierhttp://43jaiio.sadio.org.ar/proceedings/ASAI/2.pdf
dc.identifierissn:1850-2784
dc.descriptionPrevious research has made signi cant advances in under- standing how humans manage to engage in smooth, well-coordinated conversation, and have unveiled the existence of several turn-yielding cues | lexico-syntactic, prosodic and acoustic events that may serve as predictors of conversational turn nality. These results have subse- quently aided the re nement of turn-taking pro ciency of spoken dia- logue systems. In this study, we nd empirical evidence in a corpus of human-computer dialogues that human users produce the same kinds of turn-yielding cues that have been observed in human-human interac- tions. We also show that a linear relation holds between the number of individual cues conjointly displayed and the likelihood of a turn switch.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa (SADIO)
dc.formatapplication/pdf
dc.format9-17
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/3.0/
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.subjectCiencias Informáticas
dc.subjectInteligencia Artificial
dc.titleA study of turn-yelding cues in human-computer dialogue
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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