Learning users’ assistance requirements with WATSON
- Autores
- Schiaffino, Silvia
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Interface agents are computer programs that provide personalized assistance to users with their computerbased tasks. The interface agents developed so far have focused their attention on learning a user's preferences in a given application domain and on assisting him according to them. However, in order to personalize the interaction with users, interface agents should also 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 determine when the user wants a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action to deal with the problem 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.
Eje: Inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Learning
Learning Users’ Assistance Requirements
ARTIFICIAL INTELLIGENCE
WATSON - 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:10915/21448
Ver los metadatos del registro completo
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Learning users’ assistance requirements with WATSONSchiaffino, SilviaCiencias InformáticasLearningLearning Users’ Assistance RequirementsARTIFICIAL INTELLIGENCEWATSONInterface agents are computer programs that provide personalized assistance to users with their computerbased tasks. The interface agents developed so far have focused their attention on learning a user's preferences in a given application domain and on assisting him according to them. However, in order to personalize the interaction with users, interface agents should also 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 determine when the user wants a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action to deal with the problem 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.Eje: Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI)2003-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf373-377http://sedici.unlp.edu.ar/handle/10915/21448enginfo: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:UNLP2025-09-29T10:54:38Zoai:sedici.unlp.edu.ar:10915/21448Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:38.359SEDICI (UNLP) - Universidad Nacional de La Platafalse |
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Learning users’ assistance requirements with WATSON |
| title |
Learning users’ assistance requirements with WATSON |
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Learning users’ assistance requirements with WATSON Schiaffino, Silvia Ciencias Informáticas Learning Learning Users’ Assistance Requirements ARTIFICIAL INTELLIGENCE WATSON |
| title_short |
Learning users’ assistance requirements with WATSON |
| title_full |
Learning users’ assistance requirements with WATSON |
| title_fullStr |
Learning users’ assistance requirements with WATSON |
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Learning users’ assistance requirements with WATSON |
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Learning users’ assistance requirements with WATSON |
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Schiaffino, Silvia |
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Schiaffino, Silvia |
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Schiaffino, Silvia |
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author |
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Ciencias Informáticas Learning Learning Users’ Assistance Requirements ARTIFICIAL INTELLIGENCE WATSON |
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Ciencias Informáticas Learning Learning Users’ Assistance Requirements ARTIFICIAL INTELLIGENCE WATSON |
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Interface agents are computer programs that provide personalized assistance to users with their computerbased tasks. The interface agents developed so far have focused their attention on learning a user's preferences in a given application domain and on assisting him according to them. However, in order to personalize the interaction with users, interface agents should also 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 determine when the user wants a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action to deal with the problem 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. Eje: Inteligencia artificial Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
Interface agents are computer programs that provide personalized assistance to users with their computerbased tasks. The interface agents developed so far have focused their attention on learning a user's preferences in a given application domain and on assisting him according to them. However, in order to personalize the interaction with users, interface agents should also 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 determine when the user wants a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action to deal with the problem 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. |
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2003 |
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2003-05 |
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