4.4 Article

The Level of Measurement of Subjective Situation Awareness and Its Dimensions in the Situation Awareness Rating Technique (SART)

Journal

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
Volume 52, Issue 6, Pages 1147-1154

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/THMS.2021.3121960

Keywords

Task analysis; Current measurement; Training; Computational modeling; Particle measurements; Atmospheric measurements; Solid modeling; Human performance assessment; psychometrics and testing; situation awareness (SA)

Funding

  1. Air Force Research Lab/Universal Technology Corporation/ARCTOS Technology Solutions [FA8650-1.6-C-2642/18-S8401-13-C1]

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This study evaluates the measurement level of Situation awareness rating technique (SART) and its dimensions using a method for determining the level of measurement of psychometric ratings. Results suggest that all dimensions of SA can be treated as interval, but on separate interval scales. This raises doubts about the validity of the formula used by SART to compute SA.
Situation awareness (SA), a measure of how well a person understands the situation, is frequently used to evaluate the safety and effectiveness of critical systems that depend on human behavior. While there are objective ways of measuring SA, subjective assessments, such as the SA rating technique (SART), are still widely used. However, it is not clear what the level of measurement is for SART-measured SA or its constituent dimensions This is a significant gap because the level of measurement determines what mathematics and statistics can be meaningfully used to synthesize and evaluate measures. This research uses a previously developed method for determining the level of measurement of psychometric ratings to evaluate the level of measurement of SART and its elements. Results show that all of the dimensions of SA can be treated as interval in most situations, but that each is on a separate interval scale. This result casts doubt on the validity of the formula SART uses to compute SA from its subcomponents. We ultimately discuss our results and explore future research directions.

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