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Article
Self-Interruptions in Discretionary Multitasking
Computers in Human Behavior
  • Rachel F. Adler, Northeastern Illinois University
  • Raquel Benbunan-Fich
Document Type
Article
Publication Date
7-1-2013
Disciplines
Abstract

Human multitasking is often the result of self-initiated interruptions in the performance of an ongoing task. These self-interruptions occur in the absence of external triggers such as electronic alerts or email notifications. Compared to externally induced interruptions, self-interruptions have not received enough research attention. To address this gap, this paper develops a typology of self-interruptions based on the integration of Flow Theory and Self-regulation Theory. In this new typology, the two major categories stem from positive and negative feelings of task progress and prospects of goal attainment. The proposed classification is validated in an experimental multitasking environment with pre-defined tasks. Empirical findings indicate that negative feelings trigger more self-interruptions than positive feelings. In general, more self-interruptions result in lower accuracy in all tasks. The results suggest that negative internal triggers of self-interruptions unleash a downward spiral that may degrade performance.

Version
The work available here is the abstract of the article. Locate the full-text of the article using the DOI below.
DOI
https://doi.org/10.1016/j.chb.2013.01.040
Citation Information
Rachel F. Adler and Raquel Benbunan-Fich. "Self-Interruptions in Discretionary Multitasking" Computers in Human Behavior Vol. 29 Iss. 4 (2013) p. 1441 - 1449
Available at: http://works.bepress.com/rachel-adler/3/