Gesellschaft fr Informatik e.V.

Lecture Notes in Informatics


INFORMATIK 2009 - Im Focus das Leben P-154, 1645-1653 (2008).

Gesellschaft für Informatik, Bonn
2008


Editors

Stefan Fischer, Erik Maehle, Rüdiger Reischuk (eds.)


Copyright © Gesellschaft für Informatik, Bonn

Contents

Detecting real user tasks by training on laboratory contextual attention metadata

Andreas S. Rath , Didier Devaurs and Stefanie N. Lindstaedt

Abstract


Detecting the current task of a user is essential for providing her with contextualized and personalized support, and using Contextual Attention Metadata (CAM) can help doing so. Some recent approaches propose to perform automatic user task detection by means of task classifiers using such metadata. In this paper, we show that good results can be achieved by training such classifiers offline on CAM gathered in laboratory settings. We also isolate a combination of metadata features that present a significantly better discriminative power than classical ones.


Full Text: PDF

Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-241-3


Last changed 24.01.2012 22:09:03