Lots of drone crashes happen when the operator goes out of the control loop. In drone controlling scenarios, exerting force feedback to the operator keeps the human in the loop and improves the performance of the operation. Thus, having the required knowledge about human force sensitivities will have a great influence on applying the proper amount of force-feedback to the operator. One of the important human factors is the so-called “just noticeable difference” (JND) that describes the minimum noticeable difference for any stimulus, which has been investigated in the literature.

The goal of this study is to utilize the results of previous researches on extracting force JND values for human wrist and shoulder, use them in a drone control scenario to present the effects of these factors. Even though the final goal of this project is to control a drone in the real world situation, we focus on a simulated case with 1 DoF. We create a virtual environment that a drone can be controlled with a 1 DoF haptic device. Any change in the drone state will be reflected as a force change on the haptic interface that is applied to the operator. We calculate the force change in different ways, and report the influences on the control performance.

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