BusyBody: creating and fielding personalized models of the cost of interruption

  • Authors:
  • Eric Horvitz;Paul Koch;Johnson Apacible

  • Affiliations:
  • Microsoft Research, Redmond, Washington;Microsoft Research, Redmond, Washington;Microsoft Research, Redmond, Washington

  • Venue:
  • CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
  • Year:
  • 2004

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Abstract

Interest has been growing in opportunities to build and deploy statistical models that can infer a computer user's current interruptability from computer activity and relevant contextual information. We describe a system that intermittently asks users to assess their perceived interruptability during a training phase and that builds decision-theoretic models with the ability to predict the cost of interrupting the user. The models are used at run-time to compute the expected cost of interruptions, providing a mediator for incoming notifications, based on a consideration of a user's current and recent history of computer activity, meeting status, location, time of day, and whether a conversation is detected.