Validating Drone Trust Testing in Navigation Deviation Cases in Simulation
| Autor: | Khavas, Zahra Rezaei, Meriaux, Edwin, Majdi, Amin, Robinette, Paul |
|---|---|
| Rok vydání: | 2023 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | 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. Comment: 4 pages, 8 Figures, IROS 2023 workshop Social Robot Navigation: Advances and Evaluation (https://seanavbench23.pages.dev/papers) |
| Databáze: | arXiv |
| Externí odkaz: |
|