Human Workload Evaluation of Drone Swarm Formation Control using Virtual Reality Interface
Chanun Asavasirikulkij, Muhammad Hanif · 2023
This paper presents experimental data that evaluates the human workload in interacting with a drone swarm using a virtual reality (VR) interface. Formation control algorithm integrated into the system aids a human operator in interacting with the drone swarm. VR head-mounted display (HMD) will help to visualize the swarm, enabling teleoperation control. The algorithm will maintain each drone's position in the formation, making it simple to operate several drones at once. An experiment scenario is proposed to assess the workload using a joystick and a VR controller by moving the drones through a VR HMD. According to the current findings, human could achieve a smoother control with a joystick controller compared to a VR controller. However, a VR controller's average workload (62.67±30.29) is still twice as high as a joystick controller's (29.67±12.00) based on the NASA-TLX assessment.