Adopting Stimulus Detection Tasks for Cognitive Workload Assessment: Some Considerations

Area of Science:

• Human Factors
• Cognitive Psychology
• Psychophysiology

Background:

• Stimulus detection tasks offer a simple and cost-effective method for assessing operator states.
• These tasks are more sensitive to high workload conditions than low workload conditions.
• Assessing low workload using stimulus detection tasks presents interpretation challenges.

Purpose of the Study:

• To address the complexities of data interpretation when using stimulus detection tasks for workload assessment.
• To review the application of stimulus detection tasks within Human Factors.
• To explore the limitations of these tasks, particularly concerning the inverted-U model of performance.

Main Methods:

• Mini-review of common stimulus detection tasks and their role in Human Factors.
• Application of the inverted-U shape model framework for data interpretation.
• Analysis of evidence highlighting limitations of stimulus detection task paradigms.

Main Results:

• Stimulus detection tasks exhibit clear limitations as a sole measure for operator workload.
• Evidence suggests these tasks are not always suitable for accurately reflecting the operator's psychophysiological state across all workload levels.

Conclusions:

• Utilizing stimulus detection tasks as a unidimensional tool for determining operator psychophysiological state carries inherent risks.
• Recommendations are provided for Human Factors researchers and practitioners to navigate data interpretation challenges.