情感虚拟现实Stroop任务:试点设计

Deniz Mevlevioğlu, S. Tabirca, D. Murphy
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引用次数: 2

摘要

虚拟现实中的焦虑诱导和评估方法一直是近年来文献讨论的话题。该课题的重要性与不依赖自我报告和打破沉浸感难以获得准确和及时的焦虑测量有关。为此,目前的研究利用了一个公认的认知任务的情感版本;Stroop Color-Word Task并将其带入虚拟现实。它由三个层次组成;作为控制的一致性对应于无焦虑,不一致性对应于轻度焦虑,情绪化对应于重度焦虑。这个飞行员有两个功能。首先是使用生物信号测量来验证任务的效果。第二种是使用生物信号信息和标签来训练机器学习算法。试点收集的信息将用于决定在最终产品中使用哪种类型的信号和设备,以及哪种算法和时间框架更适合在不破坏沉浸感的情况下准确确定用户在虚拟现实中的焦虑程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotional Virtual Reality Stroop Task: Pilot Design
Anxiety-inducing and assessment methods in Virtual Reality has been a topic of discussion in recent literature. The importance of the topic is related to the difficulty of getting accurate and timely measurements of anxiety without relying on self-report and breaking the immersion. To this end, the current study utilises the emotional version of a well-established cognitive task; the Stroop Color-Word Task and brings it to Virtual Reality. It consists of three levels; congruent which is used as control and corresponds with no anxiety, incongruent, which corresponds with mild anxiety and emotional, which corresponds with severe anxiety. This pilot serves two functions. The first is to validate the effects of the task using biosignal measurements. The second is to use the bio signal information and the labels to train a machine-learning algorithm. The information collected by the pilot will be used to decide what types of signals and devices to use in the final product, as well as what algorithm and time frame will be better suited for the purpose of accurately determining the user’s anxiety level within Virtual Reality without breaking the immersion.
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