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
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- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23848
Ver los metadatos del registro completo
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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:UNLP2025-10-15T10:48:14Zoai: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:13292025-10-15 10:48:14.451SEDICI (UNLP) - Universidad Nacional de La Platafalse |
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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 |
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The IONWI algorithm: learning when and when not to interrupt |
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The IONWI algorithm: learning when and when not to interrupt |
| dc.creator.none.fl_str_mv |
Schiaffino, Silvia Amandi, Analía |
| author |
Schiaffino, Silvia |
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Schiaffino, Silvia Amandi, Analía |
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author |
| author2 |
Amandi, Analía |
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author |
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Ciencias Informáticas Intelligent agents User/Machine Systems |
| topic |
Ciencias Informáticas Intelligent agents User/Machine Systems |
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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. |
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2006 |
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2006-08 |
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eng |
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