Extending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications
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| Název: | Extending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications |
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| Autoři: | Rossi, Silvia, Viola, Irene, Toni, Laura, Cesar, Pablo |
| Zdroj: | Proceedings of the 14th ACM Multimedia Systems Conference |
| Publication Status: | Preprint |
| Informace o vydavateli: | ACM, 2023. |
| Rok vydání: | 2023 |
| Témata: | FOS: Computer and information sciences, immersive reality, 6-DoF, Computer Science - Human-Computer Interaction, 02 engineering and technology, Human-Computer Interaction (cs.HC), Multimedia (cs.MM), data clustering, user behavioural analysis, 0202 electrical engineering, electronic engineering, information engineering, virtual reality, trajectory analysis, Computer Science - Multimedia, point cloud |
| Popis: | 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. |
| Druh dokumentu: | Article Conference object |
| DOI: | 10.1145/3587819.3590976 |
| DOI: | 10.48550/arxiv.2112.09402 |
| Přístupová URL adresa: | http://arxiv.org/abs/2112.09402 http://resolver.tudelft.nl/uuid:113da770-210f-4ee4-9862-3f64ceceb1c6 |
| Rights: | CC BY CC BY NC SA |
| Přístupové číslo: | edsair.doi.dedup.....542993c3d983a0a1b19ca81447dac2df |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | 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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| DOI: | 10.1145/3587819.3590976 |