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Cited by 344

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Psychometric Properties of Subjective Workload Measurement Techniques: Implications for Their Use in the Assessment of Perceived Mental Workload

Nygren, Thomas E.·1991·Human Factors: The Journal of the Human Factors and Ergonomics Society

Abstract

This paper examines fundamental measurement issues that have largely been ignored in scaling techniques for assessing perceived mental workload. It is argued that both theoretical and practical advances in workload assessment have been unnecessarily slowed by a lack of concern for measurement issues. Typical of this impedance are some recently reported “empirical results“ comparing various workload assessment techniques which actually follow directly from some misunderstood statistical properties of the scales. The commonly used subjective workload assessment procedures have distinct psychometric properties that make each procedure sensitive to different kinds of workload measurement. Examination of the properties for the National Aeronautics and Space Administration Task Load Index (NASA TLX) support its potential as a general prediction model for experienced workload and for the Subjective Workload Assessment Technique (SWAT) as a cognitive model sensitive to individual differences.

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Crossref · 10.1177/001872089103300102

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Metadata

Authors
Nygren, T. E.
Venue
Human Factors: The Journal of the Human Factors and Ergonomics Society
Published
1991-02
Volume
33
Issue
1
Pages
17-33
ISSN
  • 0018-7208 (ISSN-L)
  • 1547-8181
OpenAlex
W1879300773
Cited by
344
References
1
FWCI
13.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Psychometric Properties of Subjective Workload Measurement Techniques: Implications for Their Use in the Assessment of Perceived Mental Workload. https://app.cochat.ai/papers/10.1177/001872089103300102
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Nygren, T. E. (1991). Psychometric Properties of Subjective Workload Measurement Techniques: Implications for Their Use in the Assessment of Perceived Mental Workload. Human Factors: The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1177/001872089103300102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.