The status of the strategic task overload model (STOM) for predicting multi-task management

Christopher D. Wickens, Robert S. Gutzwiller

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

11 Scopus citations

Abstract

A model for task switching which focuses on the decision making of operators in overloaded multitask conditions is reviewed and new research presented. The STOM model is an ongoing effort and as such, work is now accumulating, which serves to validate the model as a useful predictive method, but also is uncovering uncertainties that require further investigation. Here we summarize the origins of the model, which was informed by past modeling efforts, a literature review and a meta-analysis. We then describe in detail the basic parameters of STOM and the current status of each, before discussing future directions and six uncertainties uncovered when building our understanding of task switching choice.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
PublisherHuman Factors an Ergonomics Society Inc.
Pages757-761
Number of pages5
ISBN (Electronic)9780945289531
DOIs
StatePublished - Jan 1 2017
EventHuman Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 - Austin, United States
Duration: Oct 9 2017Oct 13 2017

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume2017-October
ISSN (Print)1071-1813

Other

OtherHuman Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017
CountryUnited States
CityAustin
Period10/9/1710/13/17

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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    Wickens, C. D., & Gutzwiller, R. S. (2017). The status of the strategic task overload model (STOM) for predicting multi-task management. In Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 (pp. 757-761). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2017-October). Human Factors an Ergonomics Society Inc.. https://doi.org/10.1177/1541931213601674