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Twitter, Sensors and UI: Robust Context Modeling for Interruption Management

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6075))

Abstract

In this paper, we present the results of a two-month field study of fifteen people using a software tool designed to model changes in a user’s availability. The software uses status update messages, as well as sensors, to detect changes in context. When changes are identified using the Kullback-Leibler Divergence metric, users are prompted to broadcast their current context to their social networks. The user interface method by which the alert is delivered is evaluated in order to minimize the impact on the user’s workflow. By carefully coupling both algorithms and user interfaces, interruptions made by the software tool can be made valuable to the user.

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Author information

Authors and Affiliations

  1. University Of California, Irvine, USA

    Justin Tang & Donald J. Patterson

Authors
  1. Justin Tang
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  2. Donald J. Patterson
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Editor information

Editors and Affiliations

  1. Computer Science Department, Eindhoven University of Technology, 5600, Eindhoven, MB, The Netherlands

    Paul De Bra

  2. School of Information and Computer Sciences, University of California, 92697-3440, Irvine, CA, USA

    Alfred Kobsa

  3. Department of Information and Computer Sciences, University of Hawaii, 96822, Honolulu, HI, USA

    David Chin

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© 2010 Springer-Verlag Berlin Heidelberg

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Tang, J., Patterson, D.J. (2010). Twitter, Sensors and UI: Robust Context Modeling for Interruption Management. In: De Bra, P., Kobsa, A., Chin, D. (eds) User Modeling, Adaptation, and Personalization. UMAP 2010. Lecture Notes in Computer Science, vol 6075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13470-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-13470-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13469-2

  • Online ISBN: 978-3-642-13470-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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