  In the last decade, UAVs have become a widely used technology. As they are
used by both professionals and amateurs, there is a need to explore different
control modalities to make control intuitive and easier, especially for new
users. In this work, we compared the most widely used joystick control with a
custom human pose control. We used human pose estimation and arm movements to
send UAV commands in the same way that operators use their fingers to send
joystick commands. Experiments were conducted in a simulation environment with
first-person visual feedback. Participants had to traverse the same maze with
joystick and human pose control. Participants' subjective experience was
assessed using the raw NASA Task Load Index.
