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The IONWI algorithm: learning when and when not to interrupt

Schiaffino, Silvia et al · SEDICI UNLP · 2006

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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)

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APA 7

Schiaffino, S. E. A. (2006). The IONWI algorithm: learning when and when not to interrupt. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23848

MLA

Schiaffino, Silvia et al. The IONWI algorithm: learning when and when not to interrupt. SEDICI UNLP, 2006. http://sedici.unlp.edu.ar/handle/10915/23848.

Chicago

Schiaffino, Silvia et al. 2006. The IONWI algorithm: learning when and when not to interrupt. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23848.

Harvard

Schiaffino, S. E. A. 2006, The IONWI algorithm: learning when and when not to interrupt, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/23848 [Accessed 7 Aug. 2026].

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Title
The IONWI algorithm: learning when and when not to interrupt
Author / contributors
Schiaffino, Silvia et al
Publisher
SEDICI UNLP
Publication year
2006
Language
English

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