The IONWI algorithm: learning when and when not to interrupt

Autores
Schiaffino, Silvia; Amandi, Analía
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
One of the key issues for an interface agent to succeed at assisting a user is learning when and when not to interrupt him to provide him assistance. Unwanted or irrelevant interruptions hinder the user’s work and make him dislike the agent because it is being intrusive and impolite. The IONWI algorithm enables interface agents to learn a user’s preferences and priorities regarding interruptions. The resulting user profile is then used by the agent to personalize the modality of the assistance, that is, assisting the user with an interruption or without an interruption depending on the user’s context. Experiments were conducted in the calendar management domain, obtaining promising results.
IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Intelligent agents
User/Machine Systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23848

id SEDICI_5de20b5e3e79a22e11040fb9bb8f5945
oai_identifier_str oai:sedici.unlp.edu.ar:10915/23848
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling The IONWI algorithm: learning when and when not to interruptSchiaffino, SilviaAmandi, AnalíaCiencias InformáticasIntelligent agentsUser/Machine SystemsOne of the key issues for an interface agent to succeed at assisting a user is learning when and when not to interrupt him to provide him assistance. Unwanted or irrelevant interruptions hinder the user’s work and make him dislike the agent because it is being intrusive and impolite. The IONWI algorithm enables interface agents to learn a user’s preferences and priorities regarding interruptions. The resulting user profile is then used by the agent to personalize the modality of the assistance, that is, assisting the user with an interruption or without an interruption depending on the user’s context. Experiments were conducted in the calendar management domain, obtaining promising results.IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1Red de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23848enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:36Zoai:sedici.unlp.edu.ar:10915/23848Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:36.641SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The IONWI algorithm: learning when and when not to interrupt
title The IONWI algorithm: learning when and when not to interrupt
spellingShingle The IONWI algorithm: learning when and when not to interrupt
Schiaffino, Silvia
Ciencias Informáticas
Intelligent agents
User/Machine Systems
title_short The IONWI algorithm: learning when and when not to interrupt
title_full The IONWI algorithm: learning when and when not to interrupt
title_fullStr The IONWI algorithm: learning when and when not to interrupt
title_full_unstemmed The IONWI algorithm: learning when and when not to interrupt
title_sort The IONWI algorithm: learning when and when not to interrupt
dc.creator.none.fl_str_mv Schiaffino, Silvia
Amandi, Analía
author Schiaffino, Silvia
author_facet Schiaffino, Silvia
Amandi, Analía
author_role author
author2 Amandi, Analía
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Intelligent agents
User/Machine Systems
topic Ciencias Informáticas
Intelligent agents
User/Machine Systems
dc.description.none.fl_txt_mv One of the key issues for an interface agent to succeed at assisting a user is learning when and when not to interrupt him to provide him assistance. Unwanted or irrelevant interruptions hinder the user’s work and make him dislike the agent because it is being intrusive and impolite. The IONWI algorithm enables interface agents to learn a user’s preferences and priorities regarding interruptions. The resulting user profile is then used by the agent to personalize the modality of the assistance, that is, assisting the user with an interruption or without an interruption depending on the user’s context. Experiments were conducted in the calendar management domain, obtaining promising results.
IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1
Red de Universidades con Carreras en Informática (RedUNCI)
description One of the key issues for an interface agent to succeed at assisting a user is learning when and when not to interrupt him to provide him assistance. Unwanted or irrelevant interruptions hinder the user’s work and make him dislike the agent because it is being intrusive and impolite. The IONWI algorithm enables interface agents to learn a user’s preferences and priorities regarding interruptions. The resulting user profile is then used by the agent to personalize the modality of the assistance, that is, assisting the user with an interruption or without an interruption depending on the user’s context. Experiments were conducted in the calendar management domain, obtaining promising results.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23848
url http://sedici.unlp.edu.ar/handle/10915/23848
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844615815714832384
score 13.069144