Polite interactions with robots

Autores
Benotti, Luciana; Blackburn, Patrick
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We sketch an inference architecture that permits linguistic aspects of politeness to be interpreted; we do so by applying the ideas of politeness theory to the SCARE corpus of task-oriented dialogues, a type of dialogue of particular relevance to robotics. The fragment of the SCARE corpus we analyzed contains 77 uses of politeness strategies: our inference architecture covers 58 of them using classical AI planning techniques; the remainder require other forms of means-ends inference. So by the end of the paper we will have discussed in some detail how to interpret automatically different forms of politeness - but should we do so? We conclude with some brief remarks on the issues involved.
Fil: Benotti, Luciana. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Blackburn, Patrick. Roskilde Universitet; Dinamarca
Materia
CONVERSATIONAL IMPLICATURE
FACE THREATENING ACTS
NEGATIVE FACE
POLITENESS THEORY
POSITIVE FACE
SITUATED INTERACTION
TASK-ORIENTED DIALOGUES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180084

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network_name_str CONICET Digital (CONICET)
spelling Polite interactions with robotsBenotti, LucianaBlackburn, PatrickCONVERSATIONAL IMPLICATUREFACE THREATENING ACTSNEGATIVE FACEPOLITENESS THEORYPOSITIVE FACESITUATED INTERACTIONTASK-ORIENTED DIALOGUEShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1We sketch an inference architecture that permits linguistic aspects of politeness to be interpreted; we do so by applying the ideas of politeness theory to the SCARE corpus of task-oriented dialogues, a type of dialogue of particular relevance to robotics. The fragment of the SCARE corpus we analyzed contains 77 uses of politeness strategies: our inference architecture covers 58 of them using classical AI planning techniques; the remainder require other forms of means-ends inference. So by the end of the paper we will have discussed in some detail how to interpret automatically different forms of politeness - but should we do so? We conclude with some brief remarks on the issues involved.Fil: Benotti, Luciana. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Blackburn, Patrick. Roskilde Universitet; DinamarcaIOS Press2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180084Benotti, Luciana; Blackburn, Patrick; Polite interactions with robots; IOS Press; Frontiers in Artificial Intelligence and Applications; 290; 9-2016; 293-3021535-6698CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3233/978-1-61499-708-5-293info:eu-repo/semantics/altIdentifier/url/https://ebooks.iospress.nl/publication/45649info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:25:33Zoai:ri.conicet.gov.ar:11336/180084instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:25:33.606CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Polite interactions with robots
title Polite interactions with robots
spellingShingle Polite interactions with robots
Benotti, Luciana
CONVERSATIONAL IMPLICATURE
FACE THREATENING ACTS
NEGATIVE FACE
POLITENESS THEORY
POSITIVE FACE
SITUATED INTERACTION
TASK-ORIENTED DIALOGUES
title_short Polite interactions with robots
title_full Polite interactions with robots
title_fullStr Polite interactions with robots
title_full_unstemmed Polite interactions with robots
title_sort Polite interactions with robots
dc.creator.none.fl_str_mv Benotti, Luciana
Blackburn, Patrick
author Benotti, Luciana
author_facet Benotti, Luciana
Blackburn, Patrick
author_role author
author2 Blackburn, Patrick
author2_role author
dc.subject.none.fl_str_mv CONVERSATIONAL IMPLICATURE
FACE THREATENING ACTS
NEGATIVE FACE
POLITENESS THEORY
POSITIVE FACE
SITUATED INTERACTION
TASK-ORIENTED DIALOGUES
topic CONVERSATIONAL IMPLICATURE
FACE THREATENING ACTS
NEGATIVE FACE
POLITENESS THEORY
POSITIVE FACE
SITUATED INTERACTION
TASK-ORIENTED DIALOGUES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We sketch an inference architecture that permits linguistic aspects of politeness to be interpreted; we do so by applying the ideas of politeness theory to the SCARE corpus of task-oriented dialogues, a type of dialogue of particular relevance to robotics. The fragment of the SCARE corpus we analyzed contains 77 uses of politeness strategies: our inference architecture covers 58 of them using classical AI planning techniques; the remainder require other forms of means-ends inference. So by the end of the paper we will have discussed in some detail how to interpret automatically different forms of politeness - but should we do so? We conclude with some brief remarks on the issues involved.
Fil: Benotti, Luciana. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Ciencias de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Blackburn, Patrick. Roskilde Universitet; Dinamarca
description We sketch an inference architecture that permits linguistic aspects of politeness to be interpreted; we do so by applying the ideas of politeness theory to the SCARE corpus of task-oriented dialogues, a type of dialogue of particular relevance to robotics. The fragment of the SCARE corpus we analyzed contains 77 uses of politeness strategies: our inference architecture covers 58 of them using classical AI planning techniques; the remainder require other forms of means-ends inference. So by the end of the paper we will have discussed in some detail how to interpret automatically different forms of politeness - but should we do so? We conclude with some brief remarks on the issues involved.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/180084
Benotti, Luciana; Blackburn, Patrick; Polite interactions with robots; IOS Press; Frontiers in Artificial Intelligence and Applications; 290; 9-2016; 293-302
1535-6698
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180084
identifier_str_mv Benotti, Luciana; Blackburn, Patrick; Polite interactions with robots; IOS Press; Frontiers in Artificial Intelligence and Applications; 290; 9-2016; 293-302
1535-6698
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3233/978-1-61499-708-5-293
info:eu-repo/semantics/altIdentifier/url/https://ebooks.iospress.nl/publication/45649
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299