Predicting the Effectiveness of Systematic Desensitization Through Virtual Reality for Mitigating Public Speaking Anxiety

M. V. Ebers, E. Nirjhar, A. Behzadan, Theodora Chaspari
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引用次数: 2

Abstract

Public speaking is central to socialization in casual, professional, or academic settings. Yet, public speaking anxiety (PSA) is known to impact a considerable portion of the general population. This paper utilizes bio-behavioral indices captured from wearable devices to quantify the effectiveness of systematic exposure to virtual reality (VR) audiences for mitigating PSA. The effect of separate bio-behavioral features and demographic factors is studied, as well as the amount of necessary data from the VR sessions that can yield a reliable predictive model of the VR training effectiveness. Results indicate that acoustic and physiological reactivity during the VR exposure can reliably predict change in PSA before and after the training. With the addition of demographic features, both acoustic and physiological feature sets achieve improvements in performance. Finally, using bio-behavioral data from six to eight VR sessions can yield reliable prediction of PSA change. Findings of this study will enable researchers to better understand how bio-behavioral factors indicate improvements in PSA with VR training.
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通过虚拟现实预测系统脱敏对缓解演讲焦虑的效果
在非正式场合、专业场合或学术场合,演讲是社交的核心。然而,公众演讲焦虑(PSA)被认为影响了相当一部分普通人群。本文利用从可穿戴设备捕获的生物行为指数来量化系统暴露于虚拟现实(VR)受众以减轻PSA的有效性。研究了单独的生物行为特征和人口统计学因素的影响,以及来自VR会话的必要数据量,这些数据可以产生可靠的VR训练效果预测模型。结果表明,VR暴露期间的声学和生理反应性可以可靠地预测训练前后PSA的变化。随着人口统计学特征的增加,声学和生理特征集的性能都得到了改善。最后,使用6至8次VR会话的生物行为数据可以可靠地预测PSA的变化。这项研究的发现将使研究人员更好地了解生物行为因素如何表明VR训练对PSA的改善。
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