Abstract
The automatic estimation of the user's current interruptibility is important to seamlessly adapt a device's behaviour to the user's situation. Different people differ in the way they rate their interruptibility. In this paper we investigate three options how to adapt an interruptibility estimation system to a particular user: by finding prototypical users, using experience sampling, or using knowledge of prototypical situations. We have experimentally tested all three approaches on a data set of 94 situations that have been annotated by 24 different users. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Kern, N., & Schiele, B. (2006). Towards personalized mobile interruptibility estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3987 LNCS, pp. 134–150). Springer Verlag. https://doi.org/10.1007/11752967_10
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