Multimodal Assessment of Changes in Physiological Indicators when Presenting a Video Fragment on Screen (2D) versus a VR (3D) Environment.

IF 2.7 4区 医学 Q2 CLINICAL NEUROLOGY
Elena Kriklenko, Anastasia Kovaleva, Aleksei Klimenko, Usman Dukuev, Sergey Pertsov
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Abstract

The increasing role of virtual environments in society, especially in the context of the pandemic and evolving metaverse technologies, requires a closer study of the physiological state of humans using virtual reality (VR) for entertainment, work, or learning. Despite the fact that many physiological reactions to the content presented in various modalities under VR conditions have already been described, often these studies do not reflect the full range of changes in the physiological reactions that occur to a person during their immersion in the virtual world. This study was designed to find and compare the most sensitive physiological indicators that change when viewing an emotionally intense video fragment in standard format on screen and in virtual reality conditions (in a VR helmet). The research methodology involved randomly presenting a group of subjects with visual content-a short video clip-first on screen (2D) and then in a virtual reality helmet (3D). A special feature of this study is the use of multimodal physiological state assessment throughout the content presentation, in conjunction with psychological testing of the study participants before and after the start of the study. It has been discovered that the most informative physiological indicators reflecting the subjects' condition under virtual reality conditions were changes in theta rhythm amplitude, skin conductance, standard deviation of normal RR-intervals (SDRR), and changes in photoplethysmogram (PPG). The study results suggest that in the process of immersion in a virtual environment, the participants develop a complex functional state, different from the state when watching on screen, which is characterised by the restructuring of autonomic regulation and activation of emotion structures of the brain.

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在屏幕(2D)和VR (3D)环境中呈现视频片段时生理指标变化的多模态评估。
虚拟环境在社会中的作用越来越大,特别是在大流行和不断发展的虚拟世界技术的背景下,需要对使用虚拟现实(VR)进行娱乐、工作或学习的人类的生理状态进行更深入的研究。尽管人们已经描述了在VR条件下以各种方式呈现的内容的许多生理反应,但这些研究通常并没有反映出一个人沉浸在虚拟世界中所发生的生理反应的全部变化。本研究旨在发现并比较在屏幕上观看标准格式的情感强烈视频片段和在虚拟现实条件下(在VR头盔中)观看时最敏感的生理指标的变化。研究方法包括随机向一组受试者展示视觉内容——一个短视频片段——首先在屏幕上(2D),然后在虚拟现实头盔上(3D)。本研究的一个特点是在整个内容展示过程中使用了多模态生理状态评估,并在研究开始前后对研究参与者进行了心理测试。研究发现,反映受试者在虚拟现实条件下状态的最具信息量的生理指标是theta节律振幅、皮肤电导、正常rr间隔标准差(SDRR)和光容积脉搏图(PPG)的变化。研究结果表明,在沉浸于虚拟环境的过程中,参与者产生了一种不同于观看屏幕时的复杂功能状态,其特征是大脑自主调节的重构和情绪结构的激活。
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来源期刊
Behavioural Neurology
Behavioural Neurology 医学-临床神经学
CiteScore
5.40
自引率
3.60%
发文量
52
审稿时长
>12 weeks
期刊介绍: Behavioural Neurology is a peer-reviewed, Open Access journal which publishes original research articles, review articles and clinical studies based on various diseases and syndromes in behavioural neurology. The aim of the journal is to provide a platform for researchers and clinicians working in various fields of neurology including cognitive neuroscience, neuropsychology and neuropsychiatry. Topics of interest include: ADHD Aphasia Autism Alzheimer’s Disease Behavioural Disorders Dementia Epilepsy Multiple Sclerosis Parkinson’s Disease Psychosis Stroke Traumatic brain injury.
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