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

Published:06 November 2004Publication History

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.

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      cover image ACM Conferences
      CSCW '04: Proceedings of the 2004 ACM conference on Computer supported cooperative work
      November 2004
      644 pages
      ISBN:1581138105
      DOI:10.1145/1031607

      Copyright © 2004 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 November 2004

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      CSCW '04 Paper Acceptance Rate53of176submissions,30%Overall Acceptance Rate2,235of8,521submissions,26%

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