A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory

This paper introduces a cognitive psychological experiment that was conducted to analyze how traditional film editing methods and the application of cognitive event segmentation theory perform in virtual reality (VR). Thirty volunteers were recruited and asked to watch a series of short VR videos de...

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Autores principales: Feng Tian, Hui Wang, Wanqiu Cheng, Wenrui Zhang, Yingjie Li
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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EEG
Acceso en línea:https://doaj.org/article/c42aa129b7d4490da69d68e729f434a9
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spelling oai:doaj.org-article:c42aa129b7d4490da69d68e729f434a92021-11-11T19:10:00ZA High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory10.3390/s212171761424-8220https://doaj.org/article/c42aa129b7d4490da69d68e729f434a92021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7176https://doaj.org/toc/1424-8220This paper introduces a cognitive psychological experiment that was conducted to analyze how traditional film editing methods and the application of cognitive event segmentation theory perform in virtual reality (VR). Thirty volunteers were recruited and asked to watch a series of short VR videos designed in three dimensions: time, action (characters), and space. Electroencephalograms (EEG) were recorded simultaneously during their participation. Subjective results show that any of the editing methods used would lead to an increased load and reduced immersion. Furthermore, the cognition of event segmentation theory also plays an instructive role in VR editing, with differences mainly focusing on frontal, parietal, and central regions. On this basis, visual evoked potential (VEP) analysis was performed, and the standardized low-resolution brain electromagnetic tomography algorithm (sLORETA) traceability method was used to analyze the data. The results of the VEP analysis suggest that shearing usually elicits a late event-related potential component, while the sources of VEP are mainly the frontal and parietal lobes. The insights derived from this work can be used as guidance for VR content creation, allowing VR image editing to reveal greater richness and unique beauty.Feng TianHui WangWanqiu ChengWenrui ZhangYingjie LiMDPI AGarticleEEGVR filmcognitive event segmentation theoryvisual evoked potentialChemical technologyTP1-1185ENSensors, Vol 21, Iss 7176, p 7176 (2021)
institution DOAJ
collection DOAJ
language EN
topic EEG
VR film
cognitive event segmentation theory
visual evoked potential
Chemical technology
TP1-1185
spellingShingle EEG
VR film
cognitive event segmentation theory
visual evoked potential
Chemical technology
TP1-1185
Feng Tian
Hui Wang
Wanqiu Cheng
Wenrui Zhang
Yingjie Li
A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
description This paper introduces a cognitive psychological experiment that was conducted to analyze how traditional film editing methods and the application of cognitive event segmentation theory perform in virtual reality (VR). Thirty volunteers were recruited and asked to watch a series of short VR videos designed in three dimensions: time, action (characters), and space. Electroencephalograms (EEG) were recorded simultaneously during their participation. Subjective results show that any of the editing methods used would lead to an increased load and reduced immersion. Furthermore, the cognition of event segmentation theory also plays an instructive role in VR editing, with differences mainly focusing on frontal, parietal, and central regions. On this basis, visual evoked potential (VEP) analysis was performed, and the standardized low-resolution brain electromagnetic tomography algorithm (sLORETA) traceability method was used to analyze the data. The results of the VEP analysis suggest that shearing usually elicits a late event-related potential component, while the sources of VEP are mainly the frontal and parietal lobes. The insights derived from this work can be used as guidance for VR content creation, allowing VR image editing to reveal greater richness and unique beauty.
format article
author Feng Tian
Hui Wang
Wanqiu Cheng
Wenrui Zhang
Yingjie Li
author_facet Feng Tian
Hui Wang
Wanqiu Cheng
Wenrui Zhang
Yingjie Li
author_sort Feng Tian
title A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
title_short A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
title_full A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
title_fullStr A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
title_full_unstemmed A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
title_sort high-density eeg study investigating vr film editing and cognitive event segmentation theory
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c42aa129b7d4490da69d68e729f434a9
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