Using Association Rules to Learn Users' Assistance Requirements

Autores
Schiaffino, Silvia; Amandi, Analía
Año de publicación
2003
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Interface agents are computer programs that learn users’ preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user’s assistance requirements. Our algorithm uses association rules to discover associations among problem situations and a user’s assistance requirements in a given application domain.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Interface Agents
WATSON Algorithm
Personalized Assistance
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/185220
Acceder
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network_name_str SEDICI (UNLP)
spelling Using Association Rules to Learn Users' Assistance RequirementsSchiaffino, SilviaAmandi, AnalíaCiencias InformáticasInterface AgentsWATSON AlgorithmPersonalized AssistanceInterface agents are computer programs that learn users’ preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user’s assistance requirements. Our algorithm uses association rules to discover associations among problem situations and a user’s assistance requirements in a given application domain.Sociedad Argentina de Informática e Investigación Operativa2003-09info: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/10915/185220enginfo:eu-repo/semantics/altIdentifier/issn/1666-1079info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:42:27Zoai:sedici.unlp.edu.ar:10915/185220Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:42:28.035SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Using Association Rules to Learn Users' Assistance Requirements
title Using Association Rules to Learn Users' Assistance Requirements
spellingShingle Using Association Rules to Learn Users' Assistance Requirements
Schiaffino, Silvia
Ciencias Informáticas
Interface Agents
WATSON Algorithm
Personalized Assistance
title_short Using Association Rules to Learn Users' Assistance Requirements
title_full Using Association Rules to Learn Users' Assistance Requirements
title_fullStr Using Association Rules to Learn Users' Assistance Requirements
title_full_unstemmed Using Association Rules to Learn Users' Assistance Requirements
title_sort Using Association Rules to Learn Users' Assistance Requirements
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
Interface Agents
WATSON Algorithm
Personalized Assistance
topic Ciencias Informáticas
Interface Agents
WATSON Algorithm
Personalized Assistance
dc.description.none.fl_txt_mv Interface agents are computer programs that learn users’ preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user’s assistance requirements. Our algorithm uses association rules to discover associations among problem situations and a user’s assistance requirements in a given application domain.
Sociedad Argentina de Informática e Investigación Operativa
description Interface agents are computer programs that learn users’ preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user’s assistance requirements. Our algorithm uses association rules to discover associations among problem situations and a user’s assistance requirements in a given application domain.
publishDate 2003
dc.date.none.fl_str_mv 2003-09
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/10915/185220
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-1079
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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
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score 13.22299

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