Developing videos for trust testing is very time-consuming, expensive and potentially dangerous. For trust tests, it requires a person to be flying the drone while another might be filming. The drones can be very expensive and if something goes wrong the costs might be very high. In previous work, we have looked at how collisions and basic communication loss can be accurately modeled in simulation and to be able to generate the same trust results from users. That work looked at two specific cases using two drones, but to expand upon this in other cases more testing is required. This paper looks to propose how to test and evaluate the change in user's trust of a drone when it is experiencing path deviation in simulation. If the environment is very realistic can simulations be a good alternative to real life videos for trust testing when there is path deviation? This deviation can occur due to the physical conditions of the space, faulty piloting, or communication loss.

翻译：开发用于信任测试的视频非常耗时、昂贵且存在潜在危险。信任测试需要一人操控无人机，另一人进行拍摄，而无人机本身价格高昂，一旦出现失误可能导致巨大损失。在先前工作中，我们研究了如何在仿真中精确建模碰撞与基础通信中断场景，并获取用户相同的信任度结果。该研究针对两架无人机的两种特定情况展开，但若要推广至其他场景仍需更多测试。本文旨在提出一种测试与评估方法，探究无人机在仿真环境中出现路径偏差时用户对其信任度的变化。若仿真环境足够逼真，能否成为实际视频用于路径偏差信任测试的可靠替代方案？这种偏差可能源于空间物理条件、飞手操作失误或通信中断。