Self-interruption on the computer: a typology of discretionary task interleaving

  • Authors:
  • Jing Jin;Laura A. Dabbish

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2009

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Abstract

The typical information worker is interrupted every 12 minutes, and half of the time they are interrupting themselves. However, most of the research on interruption in the area of human-computer interaction has focused on understanding and managing interruptions from external sources. Internal interruptions -- user-initiated switches away from a task prior to its completion -- are not well understood. In this paper we describe a qualitative study of self-interruption on the computer. Using a grounded theory approach, we identify seven categories of self-interruptions in computer-related activities. These categories are derived from direct observations of users, and describe the motivation, potential consequences, and benefits associated with each type of self-interruption observed. Our research extends the understanding of the self-interruption phenomenon, and informs the design of systems to support discretionary task interleaving on the computer.