2009 | OriginalPaper | Buchkapitel
A Generic Personal Assistant Agent Model for Support in Demanding Tasks
verfasst von : Tibor Bosse, Rob Duell, Mark Hoogendoorn, Michel Klein, Rianne van Lambalgen, Andy van der Mee, Rogier Oorburg, Alexei Sharpanskykh, Jan Treur, Michael de Vos
Erschienen in: Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience
Verlag: Springer Berlin Heidelberg
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Human task performance may vary depending on the characteristics of the human, the task and the environment over time. To ensure high effectiveness and efficiency of the execution of tasks, automated personal assistance may be provided to task performers. A personal assistant agent may constantly monitor the human’s state and task execution, analyse the state of the human and task, and intervene when a problem is detected. This paper proposes a generic design for a Personal Assistant agent model which can be deployed in a variety of domains. Application of the Personal Assistant model is illustrated by a case study from the naval domain.