Towards personalized mobile interruptibility estimation

  • Authors:
  • Nicky Kern;Bernt Schiele

  • Affiliations:
  • Department of Computer Science, TU Darmstadt, Germany;Department of Computer Science, TU Darmstadt, Germany

  • Venue:
  • LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
  • Year:
  • 2006

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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.