With recent advances in hardware technology, drones are increasingly present in research activities outside of robotics, performing a multitude of tasks such as image capture and sample collection. However, user interfaces for task-oriented drones have not kept pace with hardware breakthroughs. Current planning and control interfaces for drones are not intuitive and often place a large cognitive burden on those who are not highly trained in their use. This paper proposes a course of research that seeks to leverage natural user interfaces in augmented reality (AR) for controlling drones completing task-oriented objectives.