Empirically Grounded Decision-Theoretic Adaptation to Situation-Dependent Resource Limitations

Thorsten Bohnenberger, Boris Brandherm, Barbara Großmann-Hutter, Dominikus Heckmann, Frank Wittig

In: KI - Zeitschrift Künstliche Intelligenz, Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI) 3, Special Issue "Adaptivity and User Modeling" Seiten 1-8 Springer 2002.


This article summarizes research on several interrelated general issues that can arise in the design and development of user modeling systems: the learning and subsequent adaptation of general user models on the basis of empirical data; the modeling of temporally variable properties of users, in particular time pressure and cognitive load; and the user-adaptive planning of interactions under uncertainty. The methods and results are integrated and illustrated with a prototype of a mobile assistance system for travelers in an airport.

2002_KI-Journal_Empirical_Grounded.pdf (pdf, 266 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence