Towards Personalized Mobile Interruptibility Estimation

  • Nicky Kern
  • Bernt Schiele
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3987)


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.


Sensor Data Experience Sampling Single User Recognition Score Personal Annotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nicky Kern
    • 1
  • Bernt Schiele
    • 1
  1. 1.Department of Computer ScienceTU DarmstadtGermany

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