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虚拟现实中的威胁和消极偏见评估。

Assessment of threat and negativity bias in virtual reality.

机构信息

School of Psychology, Liverpool John Moores University, Liverpool, UK.

出版信息

Sci Rep. 2020 Oct 15;10(1):17338. doi: 10.1038/s41598-020-74421-1.

DOI:10.1038/s41598-020-74421-1
PMID:33060767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7566621/
Abstract

Negativity bias, i.e., tendency to respond strongly to negative stimuli, can be captured via behavioural and psychophysiological responses to potential threat. A virtual environment (VE) was created at room-scale wherein participants traversed a grid of ice blocks placed 200 m above the ground. Threat was manipulated by increasing the probability of encountering ice blocks that disintegrated and led to a virtual fall. Participants interacted with the ice blocks via sensors placed on their feet. Thirty-four people were recruited for the study, who were divided into High (HN) and Low (LN) Neuroticism groups. Movement data were recorded alongside skin conductance level and facial electromyography from the corrugator supercilii and zygomaticus major. Risk-averse behaviours, such as standing on 'safe' blocks and testing blocks prior to movement, increased when threat was highest. HN individuals exhibited more risk-averse behaviour than the LN group, especially in the presence of high threat. In addition, activation of the corrugator muscle was higher for HN individuals in the period following a movement to an ice block. These findings are discussed with respect to the use of room-scale VE as a protocol for emotion induction and measuring trait differences in negativity bias within VR.

摘要

负面偏差,即对负面刺激做出强烈反应的倾向,可以通过对潜在威胁的行为和心理生理反应来捕捉。在一个房间规模的虚拟环境 (VE) 中,参与者在距离地面 200 米的地方穿过一个冰块网格。通过增加遇到冰块的概率来制造威胁,这些冰块会分解并导致虚拟坠落。参与者通过放置在脚上的传感器与冰块互动。这项研究招募了 34 人,他们被分为高(HN)和低(LN)神经质组。记录了运动数据,以及来自皱眉肌和颧大肌的皮肤电导水平和面部肌电图。当威胁最大时,回避风险的行为,如站在“安全”的冰块上和在移动前测试冰块,增加了。HN 个体比 LN 组表现出更多的回避风险行为,尤其是在存在高威胁的情况下。此外,在移动到冰块后,HN 个体的皱眉肌活动更高。这些发现与使用房间规模 VE 作为情绪诱导的协议以及在 VR 中测量负面偏差的特质差异有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/04057eca563e/41598_2020_74421_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/d1db6f2b3298/41598_2020_74421_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/1fe044f3b0fd/41598_2020_74421_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/fa600f224616/41598_2020_74421_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/b469f9f2339e/41598_2020_74421_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/04057eca563e/41598_2020_74421_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/d1db6f2b3298/41598_2020_74421_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/547f28624a18/41598_2020_74421_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/11e5000b0280/41598_2020_74421_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/1fe044f3b0fd/41598_2020_74421_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/fa600f224616/41598_2020_74421_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/b469f9f2339e/41598_2020_74421_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/7566621/04057eca563e/41598_2020_74421_Fig7_HTML.jpg

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