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Situation awareness measures for simulated submarine track management
Shayne Loft1, Vanessa Bowden2, Janelle Braithwaite2
1University of Western Australia, Perth, Australia shayne.loft@uwa.edu.au.
Human Factors
|April 8, 2015
Summary
Situation awareness (SA) measures like SPAM and SAGAT predict performance in submarine track management. While SAGAT slightly increased workload, neither measure disrupted performance, though SPAM had limitations.
Area of Science:
- Human Factors
- Cognitive Psychology
- Naval Operations
Background:
- Submarine track managers rely on complex displays for contact localization and tracking.
- Accurate measurement of situation awareness (SA) is vital for optimizing submarine display interfaces and training.
Purpose of the Study:
- To evaluate if the Situation Present Assessment Method (SPAM) and Situation Awareness Global Assessment Technique (SAGAT) predict performance in a simulated submarine track management task.
- To assess the disruptive impact of SPAM and SAGAT on performance and workload.
Main Methods:
- Participants performed a simulated submarine track management task using tactical and sonar displays.
- Situation awareness was assessed using SPAM and SAGAT during scenarios.
- Workload and subjective SA were measured using NASA-TLX and Situation Awareness Rating Technique post-scenario.
Main Results:
- Both SPAM and SAGAT predicted unique variance in track management performance, controlling for workload.
- SA for past information was a stronger predictor than SA for current/future information.
- SAGAT predicted performance across all tasks but marginally increased subjective workload without performance decrement.
Conclusions:
- SPAM, SAGAT, and NASA-TLX effectively predict unique variance in submarine track management performance.
- SAGAT's marginal increase in workload did not negatively impact performance.
- SPAM offers a non-disruptive alternative to SAGAT, but its predictive power across all tasks requires further investigation.
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