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IMVEST, an immersive multimodal virtual environment stress test for humans that adjusts challenge to individual's performance
Neurobiology of Stress ( IF 5 ) Pub Date : 2021-08-13 , DOI: 10.1016/j.ynstr.2021.100382
João Rodrigues 1 , Erik Studer 1 , Stephan Streuber 1, 2 , Carmen Sandi 1
Affiliation  

Laboratory stressors are essential tools to study the human stress response. However, despite considerable progress in the development of stress induction procedures in recent years, the field is still missing standardization and the methods employed frequently require considerable personnel resources. Virtual reality (VR) offers flexible solutions to these problems, but available VR stress-induction tests still contain important sources of variation that challenge data interpretation. One of the major drawbacks is that tasks based on motivated performance do not adapt to individual abilities. Here, we provide open access to, and present, a novel and standardized immersive multimodal virtual environment stress test (IMVEST) in which participants are simultaneously exposed to mental -arithmetic calculations- and environmental challenges, along with intense visual and auditory stimulation. It contains critical elements of stress elicitation – perceived threat to physical self, social-evaluative threat and negative feedback, uncontrollability and unpredictability – and adjusts mathematical challenge to individual's ongoing performance. It is accompanied by a control VR scenario offering a comparable but not stressful situation. We validate and characterize the stress response to IMVEST in one-hundred-and-eighteen participants. Both cortisol and a wide range of autonomic nervous system (ANS) markers – extracted from the electrocardiogram, electrodermal activity and respiration – are significantly affected. We also show that ANS features can be used to train a stress prediction machine learning model that strongly discriminates between stress and control conditions, and indicates which aspects of IMVEST affect specific ANS components.



中文翻译:

IMVEST,一种针对人类的沉浸式多模态虚拟环境压力测试,可根据个人表现调整挑战

实验室压力源是研究人类压力反应的重要工具。然而,尽管近年来应力诱导程序的发展取得了相当大的进展,但该领域仍然缺乏标准化,并且所采用的方法经常需要大量的人力资源。虚拟现实 (VR) 为这些问题提供了灵活的解决方案,但可用的 VR 压力感应测试仍然包含挑战数据解释的重要变异来源。主要缺点之一是基于激励表现的任务不适应个人能力。在这里,我们提供开放访问和展示,一种新颖和标准化的沉浸式多模态虚拟环境压力测试(IMVEST),参与者同时暴露于心理-算术计算和环境挑战,伴随着强烈的视觉和听觉刺激。它包含压力诱发的关键要素——对身体自我的感知威胁、社会评价威胁和负面反馈、不可控性和不可预测性——并根据个人的持续表现调整数学挑战。它伴随着一个控制 VR 场景,提供了一个可比较但没有压力的情况。我们验证并描述了一百一十八名参与者对 IMVEST 的压力反应。皮质醇和广泛的自主神经系统 (ANS) 标记物——从心电图、皮肤电活动和呼吸中提取——都受到显着影响。我们还表明,ANS 特征可用于训练压力预测机器学习模型,该模型可以强烈区分压力和控制条件,

更新日期:2021-08-19
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