Multidimensional Profiling Of Task Stress States For Human Factors: A Brief Review

Keywords

diagnostic monitoring; fatigue; multivariate models; operator assessment; psychometrics; resilience; stress; vigilance

Abstract

Objective: This article advocates multidimensional assessment of task stress in human factors and reviews the use of the Dundee Stress State Questionnaire (DSSQ) for evaluation of systems and operators. Background: Contemporary stress research has progressed from an exclusive focus on environmental stressors to transactional perspectives on the stress process. Performance impacts of stress reflect the operator's dynamic attempts to understand and cope with task demands. Multidimensional stress assessments are necessary to gauge the different forms of system-operator interaction. Method: This review discusses the theoretical and practical use of the DSSQ in evaluating multidimensional patterns of stress response. It presents psychometric evidence for the multidimensional perspective and illustrative profiles of subjective state response to task stressors and environments. Evidence is also presented on stress state correlations with related variables, including personality, stress process measures, psychophysiological response, and objective task performance. Results: Evidence supports the validity of the DSSQ as a task stress measure. Studies of various simulated environments show that different tasks elicit different profiles of stress state response. Operator characteristics such as resilience predict individual differences in state response to stressors. Structural equation modeling may be used to understand performance impacts of stress states. Conclusion: Multidimensional assessment affords insight into the stress process in a variety of human factors contexts. Integrating subjective and psychophysiological assessment is a priority for future research. Application: Stress state measurement contributes to evaluating system design, countermeasures to stress and fatigue, and performance vulnerabilities. It may also support personnel selection and diagnostic monitoring of operators.

Publication Date

9-1-2016

Publication Title

Human Factors

Volume

58

Issue

6

Number of Pages

801-813

Document Type

Editorial Material

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/0018720816653688

Socpus ID

84982860508 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84982860508

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