Rotation Methods for 360-Degree Videos in Virtual Reality – A Comparative Study

Publication date

2025

Authors

Hürst, WolfgangISNI 000000035205226X
Zeches, Leo

Editors

Ide, Ichiro
Kompatsiaris, Ioannis
Xu, Changsheng
Yanai, Keiji
Chu, Wei-Ta
Nitta, Naoko
Riegler, Michael
Yamasaki, Toshihiko

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

When using virtual reality head-mounted displays to watch 360-degree videos, users often remain stationary, requiring extreme head rotations to explore scenes behind them. This can be cumbersome, potentially harmful, and lead to neck strain. To address this, we evaluate three interaction methods commonly used in virtual reality as alternatives to head rotation for navigating 360-degree videos. The methods include a graphical user interface (buttons), a hardware-based approach (thumbstick), and a gesture-based approach (video dragging). In a comparative study with 25 participants, we examined these approaches in scenarios requiring full exploration of 360-degree content. Results show that the hardware-based thumbstick method is preferred, while the gesture-based approach also holds potential. In contrast, the graphical interface was the least effective and rejected by all participants. We propose initial guidelines and suggest future research directions, particularly focusing on cybersickness mitigation.

Keywords

360-degree video, video interaction, VR rotation methods, Taverne, Theoretical Computer Science, General Computer Science

Citation

Hürst, W & Zeches, L 2025, Rotation Methods for 360-Degree Videos in Virtual Reality – A Comparative Study. in I Ide, I Kompatsiaris, C Xu, K Yanai, W-T Chu, N Nitta, M Riegler & T Yamasaki (eds), MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15522 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 354-366, 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, 8/01/25. https://doi.org/10.1007/978-981-96-2064-7_26, conference