Performance and Objective Workload Evaluation Research (POWER) software was developed by Carol A. Manning to provide objective measures of Air Traffic Controller (ATC) taskload and performance. A study investigated the relationship of POWER measures with sector complexity, controller workload, and performance using data from National Airspace System (NAS) System Analysis Recording (SAR) files and traffic samples from Kansas City Center. The exploratory study involved sixteen instructors from the FAA Academy in Oklahoma City watching eight traffic samples via the Systematic Air Traffic Operations Research Initiative (SATORI) system.
Use Cases
- Correlating objective workload measures with subjective controller workload assessments based on the study's methodology.
- Analyzing relationships between sector complexity metrics and computed POWER measures.
- Evaluating the validity of performance measures derived from NAS System Analysis Recording (SAR) data.
- Establishing baseline performance measures for the National Airspace System based on validated POWER metrics.
Strengths
- Study design involved sixteen FAA Academy instructors, providing expert input.
- Analysis used eight distinct traffic samples from four en route sectors in Kansas City Center.
- Data sourced from National Airspace System (NAS) System Analysis Recording (SAR) files, a standardized source.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The relationship between POWER measures and performance was described as 'less clear', indicating potential measurement limitations.
Provenance
- Source
- Carol A. Manning
- Collection Method
- Data extracted from NAS System Analysis Recording (SAR) files and analyzed via the Systematic Air Traffic Operations Research Initiative (SATORI) system.
- Geography
- Kansas City Center, FAA Academy in Oklahoma City, OK