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

Authors:

Thomas Röggla,

David A. Shamma,

Julie R. Williamson,

Pablo CesarAuthors Info & Claims

MMVE '24: Proceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems

Pages 41 - 44

https://doi.org/10.1145/3652212.3652225

Published: 15 April 2024 Publication History

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. The proposed tool is available at https://github.com/cwi-dis/mozillahubs-datalogger

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Cited By

Jansen JRöggla TRossi SViola ICesar PCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Open-Sourcing VR2Gather: A Collaborative Social VR System for Adaptive Multi-Party Real Time CommunicationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3685515(11210-11213)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3685515

Index Terms

A Platform for Collecting User Behaviour Data during Social VR Experiments Using Mozilla Hubs
1. Human-centered computing
  1. Visualization
    1. Visualization systems and tools
2. Information systems
  1. World Wide Web
    1. Web services

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cover image ACM Conferences

MMVE '24: Proceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems

April 2024

101 pages

ISBN:9798400706189

DOI:10.1145/3652212

Copyright © 2024 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 April 2024

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Short-paper
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MMSys '24

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SIGMM

MMSys '24: ACM Multimedia Systems Conference 2024

April 15 - 18, 2024

Bari, Italy

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Overall Acceptance Rate 26 of 44 submissions, 59%

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Cited By

Jansen JRöggla TRossi SViola ICesar PCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Open-Sourcing VR2Gather: A Collaborative Social VR System for Adaptive Multi-Party Real Time CommunicationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3685515(11210-11213)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3685515

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