Multiple Resources and Mental Workload

University of Illinois Urbana-Champaign

PubMed
Indexed incrossrefpubmed

Abstract

Objective

The objective is to lay out the rationale for multiple resource theory and the particular 4-D multiple resource model, as well as to show how the model is useful both as a design tool and as a means of predicting multitask workload overload.

Background

I describe the discoveries and developments regarding multiple resource theory that have emerged over the past 50 years that contribute to performance and workload prediction. METHOD: The article presents a history of the multiple resource concept, a computational version of the multiple resource model applied to multitask driving simulation data, and the relation of multiple resources to workload.

Citation impact

1,950
total citations
FWCI
38.51
Percentile
100%
References
71
Citations per year

Authors

1

Topics & keywords

Keywords
  • Workload
  • Computer science
  • Psychology
  • Operating system
UN Sustainable Development Goals
  • Decent work and economic growth
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