Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality

Günter Alce; Philip Alm; Rikard Tyllström; Anthony Smoker; Diederick C. Niehorster

doi:10.1007/978-3-031-16234-3_3

Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality

Günter Alce, Philip Alm, Rikard Tyllström, Anthony Smoker, Diederick C. Niehorster

Lund University

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Regulations restrict UAVs to fly only within direct view of the pilot, limiting their ability to support critical societal functions. One potential way to move beyond this limitation is by placing a 360-degree camera on the vehicle and using its feed to provide operators with a view that is the equivalent to being on the vehicle. This necessitates a cockpit user interface (UI) that amongst other things highlights flying objects, so that collision with these can be avoided. In this paper, virtual reality (VR) was used to build a prototype of such a system and evaluate three UIs that were designed to facilitate detecting aerial. Conclusions are drawn regarding which UI features support detection performance and a positive user experience.

Original language	English
Title of host publication	Virtual Reality and Mixed Reality - 19th EuroXR International Conference, EuroXR 2022, Proceedings
Editors	Gabriel Zachmann, Mariano Alcañiz Raya, Partrick Bourdot, Maud Marchal, Jeanine Stefanucci, Xubo Yang
Publisher	Springer Science and Business Media B.V.
Pages	36-49
Number of pages	14
ISBN (Print)	9783031162336
DOIs	https://doi.org/10.1007/978-3-031-16234-3_3
Publication status	Published - 2022
Event	19th EuroXR International Conference, EuroXR 2022 - Stuttgart, Germany Duration: 2022 Sept 14 → 2022 Sept 16

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13484 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th EuroXR International Conference, EuroXR 2022
Country/Territory	Germany
City	Stuttgart
Period	2022/09/14 → 2022/09/16

Bibliographical note

Funding Information:
The authors would like to thank all participants who did the tests.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Subject classification (UKÄ)

Applied Psychology
Human Computer Interaction
Aerospace Engineering

Free keywords

Prototyping
Unmanned aerial vehicle
Virtual reality

Access to Document

10.1007/978-3-031-16234-3_3

Cite this

Alce, G., Alm, P., Tyllström, R., Smoker, A., & Niehorster, D. C. (2022). Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality. In G. Zachmann, M. Alcañiz Raya, P. Bourdot, M. Marchal, J. Stefanucci, & X. Yang (Eds.), Virtual Reality and Mixed Reality - 19th EuroXR International Conference, EuroXR 2022, Proceedings (pp. 36-49). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13484 LNCS). Springer Science and Business Media B.V.. https://doi.org/10.1007/978-3-031-16234-3_3

Alce, Günter ; Alm, Philip ; Tyllström, Rikard et al. / Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality. Virtual Reality and Mixed Reality - 19th EuroXR International Conference, EuroXR 2022, Proceedings. editor / Gabriel Zachmann ; Mariano Alcañiz Raya ; Partrick Bourdot ; Maud Marchal ; Jeanine Stefanucci ; Xubo Yang. Springer Science and Business Media B.V., 2022. pp. 36-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Regulations restrict UAVs to fly only within direct view of the pilot, limiting their ability to support critical societal functions. One potential way to move beyond this limitation is by placing a 360-degree camera on the vehicle and using its feed to provide operators with a view that is the equivalent to being on the vehicle. This necessitates a cockpit user interface (UI) that amongst other things highlights flying objects, so that collision with these can be avoided. In this paper, virtual reality (VR) was used to build a prototype of such a system and evaluate three UIs that were designed to facilitate detecting aerial. Conclusions are drawn regarding which UI features support detection performance and a positive user experience.",

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note = "Funding Information: The authors would like to thank all participants who did the tests. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th EuroXR International Conference, EuroXR 2022 ; Conference date: 14-09-2022 Through 16-09-2022",

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Alce, G, Alm, P, Tyllström, R, Smoker, A & Niehorster, DC 2022, Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality. in G Zachmann, M Alcañiz Raya, P Bourdot, M Marchal, J Stefanucci & X Yang (eds), Virtual Reality and Mixed Reality - 19th EuroXR International Conference, EuroXR 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13484 LNCS, Springer Science and Business Media B.V., pp. 36-49, 19th EuroXR International Conference, EuroXR 2022, Stuttgart, Germany, 2022/09/14. https://doi.org/10.1007/978-3-031-16234-3_3

Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality. / Alce, Günter; Alm, Philip; Tyllström, Rikard et al.
Virtual Reality and Mixed Reality - 19th EuroXR International Conference, EuroXR 2022, Proceedings. ed. / Gabriel Zachmann; Mariano Alcañiz Raya; Partrick Bourdot; Maud Marchal; Jeanine Stefanucci; Xubo Yang. Springer Science and Business Media B.V., 2022. p. 36-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13484 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Alce G, Alm P, Tyllström R, Smoker A , Niehorster DC. Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality. In Zachmann G, Alcañiz Raya M, Bourdot P, Marchal M, Stefanucci J, Yang X, editors, Virtual Reality and Mixed Reality - 19th EuroXR International Conference, EuroXR 2022, Proceedings. Springer Science and Business Media B.V. 2022. p. 36-49. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-16234-3_3