Workload and Performance: Associations, Insensitivities, and Dissociations.

Area of Science:

• Human Factors and Ergonomics
• Cognitive Science
• Performance Measurement

Background:

• Human factors research often uses subjective reports and physiological data to understand performance capacity.
• Workload responses can be the sole available assessment data in certain operational contexts.
• Understanding the alignment or divergence of perceived and physiological workload with performance is critical for operational success.

Purpose of the Study:

• To identify and define factors influencing the association, dissociation, or insensitivity between objective performance and cognitive workload indicators.
• To analyze the reasons behind incongruent patterns in workload assessment methods.
• To enhance the understanding of human-machine interaction through workload assessment.

Main Methods:

• Review of existing research on workload assessment methods.
• Identification and evaluation of methodological and conceptual factors influencing workload response patterns.
• Analysis of associations, dissociations, and insensitivities between performance and workload measures.

Main Results:

• Dissociations and insensitivities between performance and workload indicators are more common than current theories suggest.
• Methodological and conceptual factors contribute significantly to observed incongruities.
• Divergent workload reflections present challenges to coherent explanations and practical design.

Conclusions:

• Understanding the causes of divergence in workload reflections is essential for practitioners.
• Addressing these dissociations can lead to improved operational success and effective human-machine system design.
• Future research should focus on the reasons behind incongruent workload assessment patterns.