An empirical study was undertaken to collect real-time workload estimates of pilots and copilots performing a resupply mission in a UH-60A flight simulator. Overall and peak workload (OW and PW) ratings were collected for twelve mission segments. These ratings were compared with OW and PW values predicted by the Task Analysis/Workload (TAWL) simulation model. High correlations were found between TAWL-based predictions and crew results for OW ( r = 0.82 to 0.95; p < .01). Lower correlations were found for PW ( r = 0.62; p < .05).
The Operator Workload (OWL) Program is a just-completed, three-year, basic and applied research effort sponsored by the Army Research Institute (ARI). As part of the Army's research thrust into workload, the OWL Program was directed to establish guidance for the assessment of OWL associated with the operation of Army systems. Its intent was to identify and integrate the most relevant of workload research into a set of practicable workload assessment methods for Army developers, and then apply and validate these methods on selected Army systems. Lessons learned from OWL studies of these systems formed the basis for guidance for Army system developers. This paper overviews the objectives, the accomplishments, and the future prospects of the OWL Program.
In recent years, increased attention t o human factors issues has highlighted the need f o r cost effective analytic methods t h a t permit the identification and prediction of human contributions t o overall system performance. Human performance modeling and the associated need f o r i t s implementation has gained acceptance i n a variety of technical areas
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