Rossi, S;
Toni, L;
(2020)
Understanding User Navigation in Immersive Experience: an Information-Theoretic analysis.
In:
MMVE '20: Proceedings of the 12th ACM International Workshop on Immersive Mixed and Virtual Environment Systems.
(pp. pp. 19-24).
ACM
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Abstract
To cope with the large bandwidth and low-latency requirements, Virtual Reality (VR) systems are steering toward user-centric systems in which coding, streaming, and possibly rendering are personalized to the final user. The success of these user-centric VR systems mainly relies on the ability to anticipate viewers navigation. This has motivated a large attention in studying the prediction of user's movements in a VR experience. However, most of these work lack of a proper and exhaustive behavioural analysis in a VR scenario, leaving many key-behavioural questions unsolved and unexplored: Can some users be more predictable than others? Do users have their own way of navigating and how much is this affected by the video content features? Can we quantify the similarity of users navigation? Answering these questions is a crucial step toward the understanding of user's behaviour in VR; and it is the overall goal of this paper. By studying VR trajectories across different contents and through information-theoretic tools, we aim at characterizing navigation patterns both for each single viewer (profiling individually viewers - intra-user analysis) and for a multitude of viewers (identifying common patterns among viewers - inter-user analysis). For each of these proposed behavioural analyses, we describe the applied metrics and key observations that can be extrapolated.
| Type: | Proceedings paper |
|---|---|
| Title: | Understanding User Navigation in Immersive Experience: an Information-Theoretic analysis |
| Event: | International Workshop on Immersive Mixed and Virtual Environment Systems |
| Dates: | 08 June 2020 - 11 June 2020 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3386293.3397115 |
| Publisher version: | https://doi.org/10.1145/3386293.3397115 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10096514 |
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