Abstract
Drones currently play a very important role in various fields of application. Their applications range from recreational activities, pilot training, educational uses, and the development of skills for specific and risky tasks such as agriculture, construction, military use, mining, etc. This implies that different types of users need to acquire the necessary skills to pilot these devices safely taking into account the type of tasks to be performed and the specific device. Having virtual reality environments that allow users to perform specific training tasks allows them to develop their skills to solve real problems without the need for a physical device. I feel the training is a playful and motivating activity for learning and skill acquisition. This work presents the design of tasks under the Hamsters notation for the production of virtual reality environments focused on teaching drone piloting in simulated and real scenarios.
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References
Andersen, K., Gaab, S. J., Sattarvand, J., Harris, F. C., & VR, M. Mining evacuation training simulator in virtual reality for underground mines. In 17th International Conference on Information Technology-New Generations (ITNG 2020).
Angeles, K. T. L. (2020). 11-month-old girl injured after private drone crashes in pasadena. https://abc7.com/news/ babyinjured-after-private-drone-crashes-in-pasadena/987551/
Bamburry, D. (2015). Drones: Designed for product delivery. Design Management Review (1), 40–48
Beers, G. (2018). Documento del plan estrat´egico de drones (2018). http://www.gisandbeers.com/documento-del-plan-estrategico-de-drones.
Gabriel, G., Ramallo, M. A., & Cervantes, E. (2016). Workload perception in drone flight training simulators. Computers in Human Behavior, 64, 449–454.
Grupping, J. (2001). The story of flight simulator. https://fshistory. simflight.com/fsh/versions.htm
International Truck Intellectual Property Company, L.: American truck simulator (2021), https://americantrucksimulator.com/
Khuwaja, K., Chowdhry, B., Khuwaja, K., Mihalca, V., & Tarca, R. (2018). Virtual reality based visualization and training of a quadcopter by using RC remote control transmitter. In: IOP Conference Series: Materials Science and Engineering.
Kim, D. H. (2019). Regulations and laws pertaining to the use of unmanned aircraft systems (UAS) by ICAO, USA, China, Japan, Australia, India, and Korea. Unmanned aerial vehicles in civilian logistics and supply chain management, 169–207.
Knight, J. C. (2002). Safety critical systems: Challenges and directions. In Proceedings of the 24th international conference on software engineering (pp. 547–550).
Larson, E., Wood, W., & Clark, F. (2005). Ciencia ocupacional: desarrollo de la ciencia y la pr´actica de la ocupacion a traves de una disciplina acad´emica. E. Crepeau, E. Cohn, & B. Boyt, Terapia Ocupacional pp. 15–26.
Machida, F. (2019). N-version machine learning models for safety critical systems. In: 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W). pp. 48–51. IEEE.
Mairaj, A., Baba, A. I., & Javaid, A. Y. (2019). Application specific drone simulators: Recent advances and challenges. Simulation Modelling Practice and Theory, 94, 100–117.
Martinie, C., Palanque, P., Barboni, E., & Ragosta, M. (2011). Task-model based assessment of automation levels: application to space ground segments. In: 2011 IEEE International Conference on Systems, Man, and Cybernetics. pp. 3267–3273. IEEE.
Martinie, C., Palanque, P., Bouzekri, E., Cockburn, A., Canny, A., & Barboni, E. (2019). Analysing and demonstrating tool-supported customizable task notations. Proceedings of the ACM on human-computer interaction vol. 3, (EICS), 1–26
Martinie, C., Palanque, P., Ragosta, M., & Fahssi, R. (2013). Extending procedural task models by systematic explicit integration of objects, knowledge and information. In: Proceedings of the 31st European Conference on Cognitive Ergonomics. pp. 1–10
Microsoft: Microsoft flight simulator (2021). https://www.xbox.com/enUS/games/microsoft-flight-simulator
Park, M. A., Yun, C., & Woo, T. (2019). Developing a virtual drone flight training contents for beginner. Journal of Korea Game Society, 19(5), 53–62.
Postal, G.R., Pavan, W., & Rieder, R. (2016). A virtual environment for drone pilot training using VR devices. In: 2016 XVIII Symposium on Virtual and Augmented Reality (SVR). pp. 183–187. IEEE
Puri, V., Nayyar, A., & Raja, L. (2017). Agriculture drones: A modern breakthrough in precision agriculture. Journal of Statistics and Management Systems, 20(4), 507–518.
Schaeffer, D. M., & Olson, P. C. (2017). Drones in the classroom. Journal of Computing Sciences in Colleges, 32(3), 85–91.
Schaffhauser, D. (2018). Drones take off in education. https://thejournal.com/ articles/2018/07/25/drones-take-off-in-education.aspx
Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017). Construction of a benchmark for the user experience questionnaire (UEQ). IJIMAI, 4(4), 40–44.
Setiawan, J.D., Setiawan, Y.D., Ariyanto, M., Mukhtar, A., & Budiyono, A. (2012). Development of real-time flight simulator for quadrotor. In: 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS), pp. 59–64. IEEE.
SimTrain. (2020). Benefits of simulator training. http://www.simtrain.net/ benefits.html
Singhal, G., Bansod, B., & Mathew, L. (2018). Unmanned aerial vehicle classification, applications and challenges: A review.
Sommerville, I. (2011). Software engineering 9th edition. ISBN-10 137035152, 18
Transportation of Federal Aviation Administration, U.D. (2021). Unmanned aircraft sys tems (UAS). https://www.faa.gov/uas/
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The authors of this work are grateful for all the support provided by CONACYT and the CIMAT Zacatecas unit for the development of this research.
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Cardona-Reyes, H., Parra-Gonz´alez, E., Trujillo-Espinoza, C., Villalba-Condori, K. (2024). Task Design in Virtual Reality Environments for Drone Pilot Training. In: Mejía, J., Muñoz, M., Rocha, A., Hernández Pérez, Y., Avila-George, H. (eds) New Perspectives in Software Engineering. Studies in Computational Intelligence, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-031-50590-4_17
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