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First-Person View Drones and the FPV Pilot User Experience

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Human Interface and the Management of Information: Applications in Complex Technological Environments (HCII 2022)

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Abstract

First-person view (FPV) drones provide an immersive flying experience to pilots and are becoming popular for recreational purposes. In this paper, we study FPV pilots’ flight preferences and how they interact with drones. First, we conducted an online survey with 515 pilots. We found that most pilots build their drones, have five drones or more, fly for three years or less, fly one to five hours per week, and prefer acrobatic flight mode. We present pilots’ preferences in equipment, background, involvement with social media, competitions, and sponsorship. We also show the results of a second user study in which we interviewed five experienced pilots. We discuss their flight preferences, the correlation between FPV flying and social media presence, and how to improve the FPV user experience. Our results allow the understanding of FPV pilots’ culture and how they interact with drones, enabling future work in the field.

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References

  1. Adalgeirsson, S.O., Breazeal, C.: Mebot: a robotic platform for socially embodied presence. In: Proceedings of the 5th ACM/IEEE International Conference on Human-Robot Interaction, pp. 15–22. IEEE Press (2010)

    Google Scholar 

  2. Barin, A., Dolgov, I., Toups, Z.O.: Understanding dangerous play: a grounded theory analysis of high-performance drone racing crashes. In: Proceedings of the Annual Symposium on Computer-Human Interaction in Play, pp. 485–496. ACM (2017)

    Google Scholar 

  3. Baytas, M.A., Çay, D., Zhang, Y., Obaid, M., Yantaç, A.E., Fjeld, M.: The design of social drones: a review of studies on autonomous flyers in inhabited environments. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–13 (2019)

    Google Scholar 

  4. Cauchard, J.R., E, J.L., Zhai, K.Y., Landay, J.A.: Drone & me: an exploration into natural human-drone interaction. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, New York, NY, USA, pp. 361–365. Association for Computing Machinery (2015). https://doi.org/10.1145/2750858.2805823

  5. Duncan, B.A., Murphy, R.R.: Comfortable approach distance with small unmanned aerial vehicles. In: 2013 IEEE RO-MAN, pp. 786–792. IEEE (2013)

    Google Scholar 

  6. Ebeid, E., Skriver, M., Terkildsen, K.H., Jensen, K., Schultz, U.P.: A survey of open-source UAV flight controllers and flight simulators. Microprocess. Microsyst. 61, 11–20 (2018)

    Article  Google Scholar 

  7. Emmelkamp, P.M., Bruynzeel, M., Drost, L., van der Mast, C.A.G.: Virtual reality treatment in acrophobia: a comparison with exposure in vivo. CyberPsychol. Behav. 4(3), 335–339 (2001)

    Article  Google Scholar 

  8. Fernandez, R.A.S., Sanchez-Lopez, J.L., Sampedro, C., Bavle, H., Molina, M., Campoy, P.: Natural user interfaces for human-drone multi-modal interaction. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1013–1022. IEEE (2016)

    Google Scholar 

  9. Jensen, W., Hansen, S., Knoche, H.: Knowing you, seeing me: investigating user preferences in drone-human acknowledgement. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 365. ACM (2018)

    Google Scholar 

  10. Krijn, M., Emmelkamp, P.M., Biemond, R., de Ligny, C.D.W., Schuemie, M.J., van der Mast, C.A.: Treatment of acrophobia in virtual reality: the role of immersion and presence. Behav. Res. Therapy 42(2), 229–239 (2004)

    Article  Google Scholar 

  11. La Delfa, J., Baytas, M.A., Patibanda, R., Ngari, H., Khot, R.A., Mueller, F.: Drone chi: somaesthetic human-drone interaction. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–13 (2020)

    Google Scholar 

  12. Miyoshi, K., Konomura, R., Hori, K.: Entertainment multi-rotor robot that realises direct and multimodal interaction. In: Proceedings of the 28th International BCS Human Computer Interaction Conference on HCI 2014-Sand, Sea and Sky-Holiday HCI, pp. 218–221. BCS (2014)

    Google Scholar 

  13. Nelson, W.G.J.: Reading cycles: the culture of BMX freestyle. Ph.D. thesis, McGill University (2006)

    Google Scholar 

  14. Nourmohammadi, A., Jafari, M., Zander, T.O.: A survey on unmanned aerial vehicle remote control using brain-computer interface. IEEE Trans. Hum.-Mach. Syst. 48(4), 337–348 (2018)

    Article  Google Scholar 

  15. Ribeiro, R., Ramos, J., Safadinho, D., de Jesus Pereira, A.M.: UAV for everyone: an intuitive control alternative for drone racing competitions. In: 2018 2nd International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW), pp. 1–8. IEEE (2018)

    Google Scholar 

  16. Rovell, D.: Drone racing league, ESPN reach broadcasting agreement, September 2016. https://www.espn.com/moresports/story/_/id/17544727

  17. Sueda, K., Kitada, T., Suzuki, Y., Wada, T.: Research and development of augmented FPV drone racing system. In: SIGGRAPH Asia 2018 Posters, p. 9. ACM (2018)

    Google Scholar 

  18. Sun, T., Nie, S., Yeung, D.Y., Shen, S.: Gesture-based piloting of an aerial robot using monocular vision. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 5913–5920. IEEE (2017)

    Google Scholar 

  19. Szafir, D., Mutlu, B., Fong, T.: Communicating directionality in flying robots. In: 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 19–26. IEEE (2015)

    Google Scholar 

  20. Tezza, D., Andujar, M.: The state-of-the-art of human-drone interaction: a survey. IEEE Access 7, 167438–167454 (2019)

    Article  Google Scholar 

  21. Tezza, D., Caprio, D., Laesker, D., Andujar, M.: Let’s fly! an analysis of flying FPV drones through an online survey. In: iHDI@ CHI (2020)

    Google Scholar 

  22. Tezza, D., Garcia, S., Hossain, T., Andujar, M.: Brain eRacing: an exploratory study on virtual brain-controlled drones. In: Chen, J.Y.C., Fragomeni, G. (eds.) HCII 2019. LNCS, vol. 11575, pp. 150–162. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21565-1_10

    Chapter  Google Scholar 

  23. Tezza, D., Laesker, D., Andujar, M.: The learning experience of becoming a FPV drone pilot. In: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, pp. 239–241 (2021)

    Google Scholar 

  24. Wright, O., et al.: How we made the first flight. Department of Transportation, Federal Aviation Administration, Office of \(\ldots \) (1977)

    Google Scholar 

  25. Young, J.: Everything you need to know about drone racing, October 2018. http://www.droneguru.net/everything-you-need-to-know-about-drone-racing/

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Author information

Authors and Affiliations

  1. St. Mary’s University, San Antonio, TX, 78228, USA

    Dante Tezza

  2. University of South Florida, Tampa, FL, 33620, USA

    Marvin Andujar

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  1. Dante Tezza
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  2. Marvin Andujar
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Correspondence to Dante Tezza .

Editor information

Editors and Affiliations

  1. Tokyo University of Science, Tokyo, Saitama, Japan

    Sakae Yamamoto

  2. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

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Tezza, D., Andujar, M. (2022). First-Person View Drones and the FPV Pilot User Experience. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information: Applications in Complex Technological Environments. HCII 2022. Lecture Notes in Computer Science, vol 13306. Springer, Cham. https://doi.org/10.1007/978-3-031-06509-5_28

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  • DOI: https://doi.org/10.1007/978-3-031-06509-5_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06508-8

  • Online ISBN: 978-3-031-06509-5

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