A Generic Personal Assistant Agent Model for Support in Demanding Tasks

Autor:	Rianne van Lambalgen, Alexei Sharpanskykh, Jan Treur, Tibor Bosse, Rob Duell, Mark Hoogendoorn, Michel C. A. Klein, Michael de Vos, Rogier Oorburg, Andy van der Mee
Rok vydání:	2009
Předmět:	Cognitive model Situation awareness Human–computer interaction Computer science Task analysis State (computer science) Task (project management) Variety (cybernetics) Domain (software engineering)
Zdroj:	Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience ISBN: 9783642028113 HCI (16)
DOI:	10.1007/978-3-642-02812-0_1
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5407f04a30d2262e99ce4fd4531be679 https://doi.org/10.1007/978-3-642-02812-0_1 Zobrazit plný text záznamu