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Extending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications

Rossi, Silvia; Viola, Irene; Toni, Laura; Cesar, Pablo; (2023) Extending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications. In: Proceedings of the 14th Conference on ACM Multimedia Systems. (pp. pp. 39-50). ACM (Association for Computing Machinery) Green open access

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Abstract

Immersive reality technologies, such as Virtual and Augmented Reality, have ushered a new era of user-centric systems, in which every aspect of the coding-delivery-rendering chain is tailored to the interaction of the users. Understanding the actual interactivity and behaviour of the users is still an open challenge and a key step to enabling such a user-centric system. Our main goal is to extend the applicability of existing behavioural methodologies for studying user navigation in the case of 6 Degree-of-Freedom (DoF). Specifically, we first compare the navigation in 6-DoF with its 3-DoF counterpart highlighting the main differences and novelties. Then, we define new metrics aimed at better modelling behavioural similarities between users in a 6-DoF system. We validate and test our solutions on real navigation paths of users interacting with dynamic volumetric media in 6-DoF Virtual Reality conditions. Our results show that metrics that consider both user position and viewing direction better perform in detecting user similarity while navigating in a 6-DoF system. Having easy-to-use but robust metrics that underpin multiple tools and answer the question "how do we detect if two users look at the same content?" open the gate to new solutions for a user-centric system

Type: Proceedings paper
Title: Extending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications
Event: MMSys '23: 14th Conference on ACM Multimedia Systems
ISBN-13: 979-8-4007-0148-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3587819.3590976
Publisher version: https://doi.org/10.1145/3587819.3590976
Language: English
Additional information: © 2023 Copyright held by the owner/author(s). Original content in this paper is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/).
Keywords: Point Cloud, User Behavioural Analysis, Data Clustering, 6-DoF, Immersive Reality, Virtual Reality, Trajectory analysis
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-pp.ucl.ac.uk/id/eprint/10172640
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