Behavioural Analysis in a 6-DoF VR System: Influence of Content, Quality and User Disposition

Rossi, Silvia; Viola, Irene; Cesar, Pablo

doi:10.1145/3552483.3556454

Behavioural Analysis in a 6-DoF VR System

Title

Behavioural Analysis in a 6-DoF VR System: Influence of Content, Quality and User Disposition

Author

Rossi, Silvia (Centrum Wiskunde & Informatica (CWI))
Viola, Irene (Centrum Wiskunde & Informatica (CWI))
Cesar, Pablo (TU Delft Multimedia Computing)

Date

2022

Abstract

This work presents an explorative behavioural analysis of users navigating in an immersive space aimed at enabling the next-generation multimedia systems. Our main goal is to understand how the user experience of immersive content with 6-Degrees-of-Freedom (DoF) is affected not only by the visual content and its quality but also by the disposition of the user. We based our investigations on traditional statistical metrics, on techniques that have been already used for 6-DoF, as well as adapted 3-DoF tools to be used in this new context. We show the limitation of each metric in giving a complete interpretation of user behaviour, and we draw insights on important factors to be considered when analysing and predicting navigation trajectories. Specifically, we have noticed in our behavioural investigations that the user disposition plays an important role in the way of interacting with the immersive content. This opens the gate to user profiles (i.e., a collection of key information that describes the behavioural features of a single or group of users) that would be beneficial for different purposes in future immersive applications such as enabling new modalities for live streaming services optimised per user profiles but also for user-based quality assessment methods.

Subject

6-dof
point cloud
user behavioural analysis
virtual reality
volumetric content

To reference this document use:

http://resolver.tudelft.nl/uuid:1bcaa1af-a025-4d3f-a370-fcede1bffc2e

DOI

https://doi.org/10.1145/3552483.3556454

Publisher

Association for Computing Machinery (ACM)

ISBN

978-1-4503-9501-4

Source

IXR 2022 - Proceedings of the 1st Workshop on Interactive eXtended Reality