Situation Awareness Measurement Techniques for Submarine Track Management.

摘要

Background. The Situation Present Assessment Method (SPAM) has been identified as a potential tool to measure Situation Awareness (SA) in the submarine environment as part of its research into human and system performance. The current research builds on previous work (Loft & Morrell, 2011) that found SPAM could predict performance in simulated submarine track management and was sensitive to changes in task demands, information uncertainty, and task disruptions. The current research further assesses the utility of SPAM for measuring SA and examines the impact of automation in a higher fidelity simulated submarine track management task. Objectives: The first objective was to complete a literature review of the benefits and risks that task automation poses for SA and performance for tasks where individuals monitor and control complex dynamic displays (report delivered to AOARD in April 2012). The second objective was to further establish the predictive validity of SPAM in a higher fidelity simulated submarine track management task by using SPAM to predict task performance. We compared the predictive validity of SPAM to the predictive validity of the Situation Awareness Global Assessment Technique (SAGAT). The third objective was to demonstrate the sensitivity of SPAM and SAGAT to manipulations of task automation, and to examine the impact of task automation on performance. The fourth objective was to examine whether SPAM or SAGAT administration were disruptive by assessing their impact on subjective workload and performance.