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Physiological Measurements of Situation Awareness: A Systematic Review
Ting Zhang1, Jing Yang1, Nade Liang1
1Purdue University, Industrial Engineering, West Lafayette, United States.
Human Factors
|November 26, 2020
Summary
This review explores how indirect physiological measures, like eye tracking, can predict situation awareness (SA). Future research should focus on wearables for better SA assessment.
Area of Science:
- Human-Computer Interaction
- Cognitive Science
- Biomedical Engineering
Background:
- Situation awareness (SA) is crucial for performance in complex tasks.
- Direct SA measurement tools (e.g., SAGAT, SPAM, SART) exist but can be intrusive.
- Indirect physiological sensing offers a potential alternative for SA assessment.
Conclusions:
- Further research is required to collect more data and model the relationship between diverse physiological measures and direct SA assessments.
- This review highlights the potential of indirect physiological sensing for SA evaluation.
- Opportunities for future research using wearable technology for SA monitoring are identified.
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