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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/21/7176 |
_version_ | 1797511806216830976 |
---|---|
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 |
collection | DOAJ |
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. |
first_indexed | 2024-03-10T05:53:14Z |
format | Article |
id | doaj.art-c42aa129b7d4490da69d68e729f434a9 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T05:53:14Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-c42aa129b7d4490da69d68e729f434a92023-11-22T21:37:42ZengMDPI AGSensors1424-82202021-10-012121717610.3390/s21217176A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation TheoryFeng Tian0Hui Wang1Wanqiu Cheng2Wenrui Zhang3Yingjie Li4Shanghai Film Academy, Shanghai University, Shanghai 200072, ChinaShanghai Film Academy, Shanghai University, Shanghai 200072, ChinaShanghai Film Academy, Shanghai University, Shanghai 200072, ChinaShanghai Film Academy, Shanghai University, Shanghai 200072, ChinaSchool of Life Sciences, Shanghai University, Shanghai 200444, ChinaThis 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.https://www.mdpi.com/1424-8220/21/21/7176EEGVR filmcognitive event segmentation theoryvisual evoked potential |
spellingShingle | Feng Tian Hui Wang Wanqiu Cheng Wenrui Zhang Yingjie Li A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory Sensors EEG VR film cognitive event segmentation theory visual evoked potential |
title | 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_short | 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 |
topic | EEG VR film cognitive event segmentation theory visual evoked potential |
url | https://www.mdpi.com/1424-8220/21/21/7176 |
work_keys_str_mv | AT fengtian ahighdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT huiwang ahighdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT wanqiucheng ahighdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT wenruizhang ahighdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT yingjieli ahighdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT fengtian highdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT huiwang highdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT wanqiucheng highdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT wenruizhang highdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory AT yingjieli highdensityeegstudyinvestigatingvrfilmeditingandcognitiveeventsegmentationtheory |