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abstract

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

Published: 12 November 2019 Publication History

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

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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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 November 2019

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Author Tags

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

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  • Abstract
  • Research
  • Refereed limited

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

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Overall Acceptance Rate 66 of 254 submissions, 26%

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VRST '24

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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

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