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Exploiting the user interaction context for automatic task detection

Devaurs, Didier and Rath, Andreas S. and Lindstaedt, Stefanie N. Exploiting the user interaction context for automatic task detection. (2012) Applied Artificial Intelligence, 26 (1-2). 58-80. ISSN 0883-9514

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Official URL: http://dx.doi.org/10.1080/08839514.2012.629522

Abstract

Detecting the task a user is performing on her computer desktop is important for providing her with contextualized and personalized support. Some recent approaches propose to perform automatic user task detection by means of classifiers using captured user context data. In this paper we improve on that by using an ontology-based user interaction context model that can be automatically populated by (i) capturing simple user interaction events on the computer desktop and (ii) applying rule-based and information extraction mechanisms. We present evaluation results from a large user study we have carried out in a knowledge-intensive business environment, showing that our ontology-based approach provides new contextual features yielding good task detection performance. We also argue that good results can be achieved by training task classifiers `online' on user context data gathered in laboratory settings. Finally, we isolate a combination of contextual features that present a significantly better discriminative power than classical ones.

Item Type:Article
Additional Information:Thanks to Taylor & Francis editor. The definitive version is available at http://www.tandfonline.com/ The original PDF of the article can be found at Applied Artificial Intelligence: An International Journal website : http://www.tandfonline.com/loi/uaai20
HAL Id:hal-00861578
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > Graz University of Technology - TU Graz (AUSTRIA)
Other partners > Know Center (AUSTRIA)
Laboratory name:
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Deposited By: Didier Devaurs
Deposited On:05 Feb 2013 12:54

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