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UICO: an ontology-based user interaction context model for automatic task detection on the computer desktop

Rath, Andreas S. and Devaurs, Didier and Lindstaedt, Stefanie N. UICO: an ontology-based user interaction context model for automatic task detection on the computer desktop. (2009) In: Context, Information and Ontologie (CIAO 2009), workshop at European Semantic Web Conference (ESWC 2009), 01 June 2009, Greece .

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Official URL: http://dl.acm.org/citation.cfm?id=1552270

Abstract

'Understanding context is vital' and `context is key' signal the key interest in the context detection field. One important challenge in this area is automatically detecting the user's task because once it is known it is possible to support her better. In this paper we propose an ontology-based user interaction context model (UICO) that enhances the performance of task detection on the user's computer desktop. Starting from low-level contextual attention metadata captured from the user's desktop, we utilize rule-based, information extraction and machine learning approaches to automatically populate this user interaction context model. Furthermore we automatically derive relations between the model's entities and automatically detect the user's task. We present evaluation results of a large-scale user study we carried out in a knowledge-intensive business environment, which support our approach.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM editor. This paper appears in Proceeding CIAO '09 Proceedings of the 1st Workshop on Context, Information and Ontologies Article No. 8 ACM New York, NY, USA ©2009,ISBN: 978-1-60558-528-4 doi>10.1145/1552262.1552270. The definitive version is available at http://dl.acm.org/citation.cfm?id=1552270
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Other partners > Graz University of Technology - TU Graz (AUSTRIA)
Other partners > Know Center (AUSTRIA)
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Deposited By: Didier Devaurs
Deposited On:23 Jul 2013 13:03

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