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Scene-motion thresholds during head yaw for immersive virtual environments

Authors:

Frederick P. Brooks, Jr.Authors Info & Claims

ACM Transactions on Applied Perception (TAP), Volume 9, Issue 1

Article No.: 4, Pages 1 - 23

https://doi.org/10.1145/2134203.2134207

Published: 05 March 2012 Publication History

Abstract

In order to better understand how scene motion is perceived in immersive virtual environments, we measured scene-motion thresholds under different conditions across three experiments. Thresholds were measured during quasi-sinusoidal head yaw, single left-to-right or right-to-left head yaw, different phases of head yaw, slow to fast head yaw, scene motion relative to head yaw, and two scene-illumination levels. We found that across various conditions (1) thresholds are greater when the scene moves with head yaw (corresponding to gain <1.0) than when the scene moves against head yaw (corresponding to gain >1.0), and (2) thresholds increase as head motion increases.

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Cited By

Gabes MMühlberger A(2024)Driving simulation: the effects of interactivity and presentation settingFrontiers in Virtual Reality10.3389/frvir.2024.14847395Online publication date: 28-Nov-2024
https://doi.org/10.3389/frvir.2024.1484739
Chung WBarnett-Cowan M(2022)Influence of Sensory Conflict on Perceived Timing of Passive Rotation in Virtual RealityMultisensory Research10.1163/22134808-bja1007435:5(367-389)Online publication date: 5-Apr-2022
https://doi.org/10.1163/22134808-bja10074
Blissing BBruzelius FEriksson O(2022)The Effects on Driving Behavior When Using a Head-mounted Display in a Dynamic Driving SimulatorACM Transactions on Applied Perception10.1145/348379319:1(1-18)Online publication date: 6-Jan-2022
https://dl.acm.org/doi/10.1145/3483793
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Index Terms

Scene-motion thresholds during head yaw for immersive virtual environments
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
2. Human-centered computing
  1. Accessibility
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. Interaction devices
      1. Graphics input devices

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Information

Published In

cover image ACM Transactions on Applied Perception

ACM Transactions on Applied Perception Volume 9, Issue 1

March 2012

95 pages

ISSN:1544-3558

EISSN:1544-3965

DOI:10.1145/2134203

Issue’s Table of Contents

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 March 2012

Accepted: 01 April 2011

Revised: 01 August 2010

Received: 01 February 2009

Published in TAP Volume 9, Issue 1

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Cited By

Gabes MMühlberger A(2024)Driving simulation: the effects of interactivity and presentation settingFrontiers in Virtual Reality10.3389/frvir.2024.14847395Online publication date: 28-Nov-2024
https://doi.org/10.3389/frvir.2024.1484739
Chung WBarnett-Cowan M(2022)Influence of Sensory Conflict on Perceived Timing of Passive Rotation in Virtual RealityMultisensory Research10.1163/22134808-bja1007435:5(367-389)Online publication date: 5-Apr-2022
https://doi.org/10.1163/22134808-bja10074
Blissing BBruzelius FEriksson O(2022)The Effects on Driving Behavior When Using a Head-mounted Display in a Dynamic Driving SimulatorACM Transactions on Applied Perception10.1145/348379319:1(1-18)Online publication date: 6-Jan-2022
https://dl.acm.org/doi/10.1145/3483793
Buhr MPfeiffer TReiners DCruz-Neira CJung B(2022)Real-Time Aspects of VR SystemsVirtual and Augmented Reality (VR/AR)10.1007/978-3-030-79062-2_7(245-289)Online publication date: 12-Jan-2022
https://doi.org/10.1007/978-3-030-79062-2_7
Nguyen ARothacher YEfthymiou ELenggenhager BBrugger PImbach LKunz A(2020)Effect of Cognitive Load on Curvature Redirected Walking ThresholdsProceedings of the 26th ACM Symposium on Virtual Reality Software and Technology10.1145/3385956.3418950(1-5)Online publication date: 1-Nov-2020
https://dl.acm.org/doi/10.1145/3385956.3418950
Friston S(2020)Low-Latency Rendering With Dataflow ArchitecturesIEEE Computer Graphics and Applications10.1109/MCG.2020.298018340:3(94-104)Online publication date: 1-May-2020
https://doi.org/10.1109/MCG.2020.2980183
Yang YZhang LYan SNing L(2019)Low-cost, high-performance VR delay detection device based on PIN photodiodeOptoelectronic Devices and Integration VIII10.1117/12.2537640(30)Online publication date: 19-Nov-2019
https://doi.org/10.1117/12.2537640
Holland OSteinbach EPrasad RLiu QDawy ZAijaz APappas NChandra KRao VOteafy SEid MLuden MBhardwaj ALiu XSachs JAraujo J(2019)The IEEE 1918.1 “Tactile Internet” Standards Working Group and its StandardsProceedings of the IEEE10.1109/JPROC.2018.2885541107:2(256-279)Online publication date: Feb-2019
https://doi.org/10.1109/JPROC.2018.2885541
Garzorz IMacNeilage P(2019)Towards dynamic modeling of visual-vestibular conflict detection10.1016/bs.pbr.2019.03.018Online publication date: 2019
https://doi.org/10.1016/bs.pbr.2019.03.018
Pohl SBecher AGrauschopf TAxenie C(2019)Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual RealityArtificial Neural Networks and Machine Learning – ICANN 2019: Image Processing10.1007/978-3-030-30508-6_35(429-442)Online publication date: 17-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-30508-6_35
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