A method, system, and tools for intelligent interruption management

Piotr D. Adamczyk, Shamsi T. Iqbal, Brian P. Bailey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Interrupting users engaged in tasks typically has negative effects on their task completion time, error rate, and affective state. Empirical research has shown that these negative effects can be mitigated by deferring interruptions until more opportune moments in a user's task sequence. However, existing systems that reason about when to interrupt do not have access to task models that would allow for such finer-grained temporal reasoning. We outline our method of finding opportune moments that links a physiological measure of workload with task modeling techniques and theories of attention. We describe the design and implementation of our interruption management system, showing how it can be used to specify and monitor practical, representative user tasks. We discuss our ongoing empirical work in this area, and how the use of our framework may enable attention aware systems to consider a user's position in a task when reasoning about when to interrupt.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th International Workshop on Task Models and Diagrams, TAMODIA '05
Pages123-126
Number of pages4
DOIs
StatePublished - 2005
Event4th International Workshop on Task Models and Diagrams, TAMODIA '05 - Gdansk, Poland
Duration: Sep 26 2005Sep 27 2005

Publication series

NameACM International Conference Proceeding Series
Volume127

Other

Other4th International Workshop on Task Models and Diagrams, TAMODIA '05
CountryPoland
CityGdansk
Period9/26/059/27/05

Keywords

  • attention
  • forecasting
  • interruption
  • pupil size
  • task models

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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