Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3359996.3364784acmconferencesArticle/Chapter ViewAbstractPublication PagesvrstConference Proceedingsconference-collections
abstract

A Scalability Benchmark for a Virtual Audience Perception Model in Virtual Reality

Published: 12 November 2019 Publication History
  • Get Citation Alerts
  • Abstract

    In this paper, we describe the implementation and performance of a Virtual Audience perception model for Virtual Reality (VR). The model is a VR adaptation of an existing desktop model. The system allows a user in VR to easily build and experience a wide variety of atmospheres with small or large groups of virtual agents.The paper describes results of early evaluations for this model in VR. Our first scalability benchmark results demonstrated the ability to simultaneously handle one hundred virtual agents without significantly affecting there commended frame rate for VR applications.This research is conducted in the context of a classroom simulation software for teachers’ training.

    References

    [1]
    Mathieu Chollet and Stefan Scherer. 2017. Perception of Virtual Audiences. IEEE computer graphics and applications 37, 4 (2017), 50–59.
    [2]
    Masato Fukuda, Hung-Hsuan Huang, Naoki Ohta, and Kazuhiro Kuwabara. 2017. Proposal of a Parameterized Atmosphere Generation Model in a Virtual Classroom. In Proceedings of the 5th International Conference on Human Agent Interaction. ACM, 11–16.
    [3]
    Ni Kang, Willem-Paul Brinkman, M Birna van Riemsdijk, and Mark Neerincx. 2016. The design of virtual audiences: noticeable and recognizable behavioral styles. Computers in Human Behavior 55 (2016), 680–694.
    [4]
    Marc Erich Latoschik, Jean-Luc Lugrin, Michael Habel, Daniel Roth, Christian Seufert, and Silke Grafe. 2016. Breaking Bad Behavior: Immersive Training of Class Room Management. In Proceedings of the 22Nd ACM Conference on Virtual Reality Software and Technology(VRST ’16). ACM, New York, NY, USA, 317–318.
    [5]
    Jean-Luc Lugrin, Dennis Wiebusch, Marc Erich Latoschik, and Alexander Strehler. 2013. Usability benchmarks for motion tracking systems. In Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology(VRST ’13). ACM, 49–58.

    Cited By

    View all
    • (2024)Scalability in VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.323123030:7(3314-3330)Online publication date: Jul-2024
    • (2023)Posture Parameters for Personality-Enhanced Virtual AudiencesProceedings of the 23rd ACM International Conference on Intelligent Virtual Agents10.1145/3570945.3607311(1-4)Online publication date: 19-Sep-2023
    • (2023)Perception of avatars nonverbal behaviors in virtual realityPsychology & Marketing10.1002/mar.2187140:11(2464-2481)Online publication date: 15-Jul-2023

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    VRST '19: Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology
    November 2019
    498 pages
    ISBN:9781450370011
    DOI:10.1145/3359996
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 November 2019

    Check for updates

    Author Tags

    1. Education
    2. Perception model
    3. Virtual Agent
    4. Virtual Reality

    Qualifiers

    • Abstract
    • Research
    • Refereed limited

    Conference

    VRST '19
    VRST '19: 25th ACM Symposium on Virtual Reality Software and Technology
    November 12 - 15, 2019
    NSW, Parramatta, Australia

    Acceptance Rates

    Overall Acceptance Rate 66 of 254 submissions, 26%

    Upcoming Conference

    VRST '24

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)9
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 11 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Scalability in VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.323123030:7(3314-3330)Online publication date: Jul-2024
    • (2023)Posture Parameters for Personality-Enhanced Virtual AudiencesProceedings of the 23rd ACM International Conference on Intelligent Virtual Agents10.1145/3570945.3607311(1-4)Online publication date: 19-Sep-2023
    • (2023)Perception of avatars nonverbal behaviors in virtual realityPsychology & Marketing10.1002/mar.2187140:11(2464-2481)Online publication date: 15-Jul-2023

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media