A study of turn-yelding cues in human-computer dialogue

Autores
Gravano, Agustín; Jul Vidal, Claudia A.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Previous 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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Inteligencia Artificial
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/41661

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spelling A study of turn-yelding cues in human-computer dialogueGravano, AgustínJul Vidal, Claudia A.Ciencias InformáticasInteligencia ArtificialPrevious 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.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf9-17http://sedici.unlp.edu.ar/handle/10915/41661enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/ASAI/2.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:42:37Zoai:sedici.unlp.edu.ar:10915/41661Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:42:37.678SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A study of turn-yelding cues in human-computer dialogue
title A study of turn-yelding cues in human-computer dialogue
spellingShingle A study of turn-yelding cues in human-computer dialogue
Gravano, Agustín
Ciencias Informáticas
Inteligencia Artificial
title_short A study of turn-yelding cues in human-computer dialogue
title_full A study of turn-yelding cues in human-computer dialogue
title_fullStr A study of turn-yelding cues in human-computer dialogue
title_full_unstemmed A study of turn-yelding cues in human-computer dialogue
title_sort A study of turn-yelding cues in human-computer dialogue
dc.creator.none.fl_str_mv Gravano, Agustín
Jul Vidal, Claudia A.
author Gravano, Agustín
author_facet Gravano, Agustín
Jul Vidal, Claudia A.
author_role author
author2 Jul Vidal, Claudia A.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Inteligencia Artificial
topic Ciencias Informáticas
Inteligencia Artificial
dc.description.none.fl_txt_mv Previous 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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description Previous 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
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