Understanding and developing models for detecting and differentiating breakpoints during interactive tasks

Shamsi T. Iqbal, Brian P Bailey

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

Abstract

The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we examine the feasibility of building statistical models that can detect and differentiate three granularities (types) of perceptually meaningful breakpoints during task execution, without having to recognize the underlying tasks. We collected ecological samples of task execution data, and asked observers to review the interaction in the collected videos and identify any perceived breakpoints and their type. Statistical methods were applied to learn models that map features of the interaction to each type of breakpoint. Results showed that the models were able to detect and differentiate breakpoints with reasonably high accuracy across tasks. Among many uses, our resulting models can enable interruption management systems to better realize defer-to-breakpoint policies for interactive, free-form tasks.

Original languageEnglish (US)
Title of host publicationProceedings of the SIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007
Pages697-706
Number of pages10
DOIs
StatePublished - Oct 22 2007
Event25th SIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007 - San Jose, CA, United States
Duration: Apr 28 2007May 3 2007

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other25th SIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007
CountryUnited States
CitySan Jose, CA
Period4/28/075/3/07

Keywords

  • Attention
  • Breakpoints
  • Interruption
  • Statistical models

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Iqbal, S. T., & Bailey, B. P. (2007). Understanding and developing models for detecting and differentiating breakpoints during interactive tasks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2007, CHI 2007 (pp. 697-706). (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/1240624.1240732