Workload-adaptive and task-specific support for cockpit crews: design and evaluation of an adaptive associate system

Abstract

AbstractThis article describes and validates a concept of a workload-adaptive and task-specific associate system for military helicopter crews. We introduce a cognitive agent that behaves like an additional, artificial crew member. It adapts the extent of support by identifying the current and future task situation and workload of the crew. By choosing different intervention strategies, the associate system dynamically changes the task sharing between the crew and automation. We implemented the associate system into a helicopter simulator. The system supports helicopter pilots during Manned-Unmanned Teaming missions, where the crew of a manned helicopter operates several unmanned aircraft from the cockpit. To evaluate the prototype, we conducted a pilot-in-the-loop campaign and analyzed situations where the association system prevents or corrects human error.