Technological Competence is a Precondition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-analysis

• URL: http://arxiv.org/abs/2101.08123v1
• Date: Wed, 20 Jan 2021 13:48:11 GMT
• Title: Technological Competence is a Precondition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-analysis
• Authors: Panagiotis Kourtesis, Simona Collina, Leonidas A.A. Doumas, and Sarah E. MacPherson
• Abstract summary: Immersive virtual reality (VR) emerges as a promising research and clinical tool. Several studies suggest that VR induced adverse symptoms and effects (VRISE) may undermine the health and safety standards, and the reliability of the scientific results.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Immersive virtual reality (VR) emerges as a promising research and clinical tool. However, several studies suggest that VR induced adverse symptoms and effects (VRISE) may undermine the health and safety standards, and the reliability of the scientific results. In the current literature review, the technical reasons for the adverse symptomatology are investigated to provide suggestions and technological knowledge for the implementation of VR head-mounted display (HMD) systems in cognitive neuroscience. The technological systematic literature indicated features pertinent to display, sound, motion tracking, navigation, ergonomic interactions, user experience, and computer hardware that should be considered by the researchers. Subsequently, a meta-analysis of 44 neuroscientific or neuropsychological studies involving VR HMD systems was performed. The meta-analysis of the VR studies demonstrated that new generation HMDs induced significantly less VRISE and marginally fewer dropouts.Importantly, the commercial versions of the new generation HMDs with ergonomic interactions had zero incidents of adverse symptomatology and dropouts. HMDs equivalent to or greater than the commercial versions of contemporary HMDs accompanied with ergonomic interactions are suitable for implementation in cognitive neuroscience. In conclusion, researchers technological competency, along with meticulous methods and reports pertinent to software, hardware, and VRISE, are paramount to ensure the health and safety standards and the reliability of neuroscientific results.

Related papers

• Neural 3D decoding for human vision diagnosis [76.41771117405973]
  We show how AI can go beyond the current state of the art by advancing from 2D visuals to visually plausible and functionally more comprehensive 3D visuals decoded from brain signals. We design a novel 3D object representation learning method, Brain3D, that takes as input the fMRI data of a subject who was presented with a 2D image, and yields as output the corresponding 3D object visuals.
  arXiv  Detail & Related papers  (2024-05-24T06:06:11Z)
• A Review of Neuroscience-Inspired Machine Learning [58.72729525961739]
  Bio-plausible credit assignment is compatible with practically any learning condition and is energy-efficient. In this paper, we survey several vital algorithms that model bio-plausible rules of credit assignment in artificial neural networks. We conclude by discussing the future challenges that will need to be addressed in order to make such algorithms more useful in practical applications.
  arXiv  Detail & Related papers  (2024-02-16T18:05:09Z)
• AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey [16.66549936852184]
  We present a comprehensive examination of the burgeoning field of AI-enhanced VR applications in medical care and services. By introducing a systematic taxonomy, we meticulously classify the pertinent techniques and applications into three well-defined categories. This categorization enables a structured exploration of the diverse roles that AI-powered VR plays in the medical domain.
  arXiv  Detail & Related papers  (2024-02-05T15:24:13Z)
• On the Emergence of Symmetrical Reality [51.21203247240322]
  We introduce the symmetrical reality framework, which offers a unified representation encompassing various forms of physical-virtual amalgamations. We propose an instance of an AI-driven active assistance service that illustrates the potential applications of symmetrical reality.
  arXiv  Detail & Related papers  (2024-01-26T16:09:39Z)
• Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data [49.68609500290361]
  Recent studies have demonstrated that the motion tracking "telemetry" data used by nearly all VR applications is as uniquely identifiable as a fingerprint scan. We present in this paper a state-of-the-art VR identification model that can convincingly bypass known defensive countermeasures.
  arXiv  Detail & Related papers  (2023-11-09T01:34:22Z)
• Multisensory extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine [2.46537907738351]
  3D data from high-resolution volumetric imaging is a central resource for diagnosis and treatment in modern medicine. Recent research used extended reality (XR) for perceiving 3D images with visual depth perception and touch but used restrictive haptic devices. In this study, 24 experts for biomedical images in research and medicine explored 3D medical shapes with 3 applications.
  arXiv  Detail & Related papers  (2023-11-07T13:37:47Z)
• Virtual-Reality based Vestibular Ocular Motor Screening for Concussion Detection using Machine-Learning [0.0]
  Sport-related concussion (SRC) depends on sensory information from visual, vestibular, and somatosensory systems. Current clinical administration of Vestibular/Ocular Motor Screening (VOMS) is subjective and deviates among administrators. With the advancement of technology, virtual reality (VR) can be utilized to advance the standardization of the VOMS.
  arXiv  Detail & Related papers  (2022-10-13T02:09:21Z)
• Force-Aware Interface via Electromyography for Natural VR/AR Interaction [69.1332992637271]
  We design a learning-based neural interface for natural and intuitive force inputs in VR/AR. We show that our interface can decode finger-wise forces in real-time with 3.3% mean error, and generalize to new users with little calibration. We envision our findings to push forward research towards more realistic physicality in future VR/AR.
  arXiv  Detail & Related papers  (2022-10-03T20:51:25Z)
• Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality [102.4151387131726]
  We propose a learning-based Incentive Mechanism framework for VR services in the Metaverse. First, we propose the quality of perception as the metric for VR users in the virtual world. Second, for quick trading of VR services between VR users (i.e., buyers) and VR SPs (i.e., sellers), we design a double Dutch auction mechanism. Third, for auction communication reduction, we design a deep reinforcement learning-based auctioneer to accelerate this auction process.
  arXiv  Detail & Related papers  (2021-11-07T13:02:52Z)
• Immersive virtual reality methods in cognitive neuroscience and neuropsychology: Meeting the criteria of the National Academy of Neuropsychology and American Academy of Clinical Neuropsychology [0.0]
  Clinical tools involving immersive virtual reality (VR) may bring several advantages to cognitive neuroscience and neuropsychology. The American Academy of Clinical Neuropsychology (AACN) and the National Academy of Neuropsychology raised 8 key issues pertaining to Computerized Neuropsychological Assessment Devices. The VR Everyday Assessment Lab (VR-EAL) is the first immersive VR neuropsychological battery with enhanced ecological validity for the assessment of everyday cognitive functions.
  arXiv  Detail & Related papers  (2021-05-25T13:15:57Z)
• Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL) [0.0]
  This study offers guidelines for the development of VR software in cognitive neuroscience and neuropsychology. Twenty-five participants aged between 20 and 45 years with 12-16 years of full-time education evaluated various versions of VR-EAL. The final version of VR-EAL achieved high scores in every sub-score of the VRNQ and exceeded its parsimonious cut-offs.
  arXiv  Detail & Related papers  (2021-01-20T14:55:57Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.