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Margeritta von Wilamowitz-Moellendorff
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- READY-p3 2002-01-01 – 2004-12-31
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2005
GUMO - the General User Model Ontology
Dominik Heckmann, Tim Schwartz, Boris Brandherm, Michael Schmitz and Margeritta von Wilamowitz-Moellendorff
Proceedings of the 10th International Conference on User Modeling (UM'2005), Edinburgh, UK, 2005, Springer-Verlag Berlin Heidelberg, LNAI 3538, pp. 428-432
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We introduce the general user model ontology GUMO for the uniform interpretation of distributed user models in intelligent semantic web enriched environments. We discuss design decisions, show the relation to the user model markup language UserML and present the integration of ubiquitous applications with the user model service U2M.
Recognition of Time Pressure via Physiological Sensors: Is the User's Motion a Help or a Hindrance?
Margeritta von Wilamowitz-Moellendorff, Christian Müller, Anthony Jameson, Boris Brandherm, Tim Schwartz
Proceedings of the Workshop "Adapting the Interaction Style to Affective Factors" (UM'2005), Edinburgh, UK, 2005
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The recognition of a user's internal states via physiological sensors
is sometimes seen as a matter of detecting the direct physiological
correlates of the internal states. This type of detection can be
problematic when a user is moving around, as is often the case with
today's mobile systems. We present a study which illustrates that
detection of internal states is sometimes actually easier when the
subject is moving: The affective state may be associated with overt
behavior that results in detectable changes in the physiological variables.
Using Physiological Signals in a User-Adaptive Personal Assistant
Boris Brandherm, Holger Schultheis, Margeritta von Wilamowitz-Moellendorff, Tim Schwartz, Michael Schmitz
Proceedings of the 11th International Conference on Human-Computer Interaction (HCII-2005), Las Vegas, Nevada, USA, 2005
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Since psychophysiological signals are continuously available and usually quickly reflect changes of the user’s state, they constitute an important source of information for adaptive assistance systems. Despite their potential benefits however, physiological information is frequently neglected in current adaptive systems. This may—at least partly—be due to the fact that physiological measures cannot be easily used for adaptation. Instead several steps have to be taken to be able to draw on the advantages of physiology. First, each measure has to be evaluated regarding its suitability to distinguish between user states. Second, the exact relationships between physiological measures and states need to be identified. Finally, psychophysiological information has to be integrated over time and with other sources of information. In the scope of the BAIR project all three sub problems have been tackled and the respective solutions have been combined to give a systematic approach for the utilization of physiological information in user-adaptive personal assistance systems.