ABSTRACT
We are using the Intelligent Multi-UxV Planner with Adaptive Collaborative Control Technologies (IMPACT) system. It is a collection of technologies used for the purpose of aiding users in the command and control of multiple Unmanned Vehicles to achieve different tasks (Rowe et al., 2015). The IMPACT system models Unmanned Vehicles, their sensors and the environment within which they operate. The unmanned vehicles can be tasked via “plays” to perform certain actions such as scanning and tracking other objects in the simulation. Given the potentially large number of unmanned vehicles in a simulation, human operators can become overwhelmed attempting to construct the context by maintaining situational awareness and control over the vehicles. To address this problem, our team has developed a Task Manager module for IMPACT with the aim of
assisting human operators (Lange et al., 2014; Gutzwiller et al., 2015). Still, however, even with the assistance of the task manager, human operators can be overloaded at times in managing and creating tasks in the system. Additionally, the IMPACT task manager can only assist the operator if it has a representation relating the operational context for the task space being maintained.
