Testing Adaptive Levels of Automation (ALOA) for UAV Supervisory Control

摘要

OR Concepts Applied has designed and implemented a human factors test bed to evaluate adaptive autonomy schemes and a range of levels of autonomy for UAV supervisory control. The test bed includes a high fidelity simulation that interfaces with a mission control element (MCE) that supports multi-vehicle control. The MCE uses OPUS mission planning tools to provide the operator with optimization and analysis decision aids. SA Technologies, Inc. was instrumental in helping to create user interface elements to help maintain high levels of situation awareness even when the level of automation is increased. The test bed provides a variety of tools for researchers to create scenarios, alter adaptive schemas, and collect experimental data.