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

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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publicationMMVE 2024 - Proceedings of the 2024 16th International Workshop on Immersive Mixed and Virtual Environment Systems
PublisherAssociation for Computing Machinery (ACM)
Pages41-44
Number of pages4
ISBN (Electronic)9798400706189
DOIs
Publication statusPublished - 2024
Event16th International Workshop on Immersive Mixed and Virtual Environment Systems, MMVE 2024 - Bari, Italy
Duration: 15 Apr 202418 Apr 2024

Publication series

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

Conference

Conference16th International Workshop on Immersive Mixed and Virtual Environment Systems, MMVE 2024
Country/TerritoryItaly
CityBari
Period15/04/2418/04/24

Keywords

  • data collection
  • data visualisation
  • Mozilla Hubs
  • plugin
  • Social VR

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