Extending 3-DoF metrics to model user behaviour similarity in 6-DoF immersive applications
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.
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|14th ACM Multimedia Systems Conference, MMSys 2023|
|Organisation||Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands|
Rossi, S, Viola, I, Toni, L, & César Garcia, P.S. (2023). Extending 3-DoF metrics to model user behaviour similarity in 6-DoF immersive applications. In MMSys 2023 - Proceedings of the 14th ACM Multimedia Systems Conference (pp. 39–50). doi:10.1145/3587819.3590976