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.
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Kern, N., Schiele, B. (2006). Towards Personalized Mobile Interruptibility Estimation. In: Hazas, M., Krumm, J., Strang, T. (eds) Location- and Context-Awareness. LoCA 2006. Lecture Notes in Computer Science, vol 3987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752967_10
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DOI: https://doi.org/10.1007/11752967_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34150-5
Online ISBN: 978-3-540-34151-2
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