A Platform for Collecting User Behaviour Data during Social VR Experiments Using Mozilla Hubs

Röggla, Thomas; Shamma, David A.; Williamson, Julie R.; Viola, Irene; Rossi, Silvia; Cesar, Pablo

doi:10.1145/3652212.3652225

A Platform for Collecting User Behaviour Data during Social VR Experiments Using Mozilla Hubs

Title

A Platform for Collecting User Behaviour Data during Social VR Experiments Using Mozilla Hubs

Author

Röggla, Thomas (Centrum Wiskunde & Informatica (CWI))
Shamma, David A. (Toyota Research Institute)
Williamson, Julie R. (University of Glasgow)
Viola, Irene (Centrum Wiskunde & Informatica (CWI))
Rossi, Silvia (Centrum Wiskunde & Informatica (CWI))
Cesar, Pablo (TU Delft Multimedia Computing; Centrum Wiskunde & Informatica (CWI))

Date

2024

Abstract

In recent years, a large variety of online communication tools have emerged, including social Virtual Reality (VR) platforms for interacting in a virtual world with participants being represented as virtual avatars. Given their popularity, an active area of research focuses on improving the user experience in these virtual experiences. To enable experimentation at large scale on online platforms, it is however essential to collect behavioural data (e.g. movements and audio information). In this work, we present a toolchain that enables the running of experiments using a modified version of the social VR platform Mozilla Hubs. Specifically, our toolkit enables collection and tracking or user positions and movements at a central location, enabling fine-grained analysis of user behaviour during a social VR experience.

Subject

data collection
data visualisation
Mozilla Hubs
plugin
Social VR

To reference this document use:

http://resolver.tudelft.nl/uuid:56b17642-96db-4d0e-a34e-6066608dc3f2

DOI

https://doi.org/10.1145/3652212.3652225

Publisher

Association for Computing Machinery (ACM)

ISBN

9798400706189

Source

MMVE 2024 - Proceedings of the 2024 16th International Workshop on Immersive Mixed and Virtual Environment Systems