VR情绪诱导范式的神经生理和主观分析

Ming Li;Junjun Pan;Yang Gao;Yang Shen;Fang Luo;Ju Dai;Aimin Hao;Hong Qin
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引用次数: 1

摘要

情绪诱导情景的生态效度是情绪研究的基础。与经典的被动诱导范式相比,沉浸式VR充分利用了受试者的心理和生理成分,这被认为是研究情感的生态有效范式。有几项研究使用主观量表调查了不同VR任务或游戏的情绪反应。然而,很少有研究将VR作为一种激发材料,特别是从神经生理学的角度系统地分析VR中的情绪过程。为了填补这一空白,科学地评估虚拟现实作为一种积极的情绪激发方法的能力,我们研究了外显信息(主观评价)和内隐信息(客观神经生理数据)之间的动态关系。共有28名参与者观看了8个VR视频,同时记录了他们的SAM/IPQ分数和脑电图数据。在生态有效情境下,主观结果表明虚拟现实在唤起情绪效价方面具有显著优势。这一结论得到了我们对客观神经生理学证据的检验的支持,即VR视频有效地诱发了高唤醒情绪。此外,我们获得了与情绪效价相关的关键通道和频率振荡的特征,从而在更逼真的环境中验证了先前的研究。特别是,我们发现在高情绪唤醒和低情绪唤醒下枕区半球不对称,这增加了我们对情绪唤醒的神经特征和动态的理解。因此,我们成功地将EEG和VR结合起来,证明VR在唤起自然感觉方面更加实用,有利于情感研究。我们的研究为使用VR归纳范式获得更可靠的情感计算解释的新方法开创了先例。
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Neurophysiological and Subjective Analysis of VR Emotion Induction Paradigm
The ecological validity of emotion-inducing scenarios is essential for emotion research. In contrast to the classical passive induction paradigm, immersive VR fully engages the psychological and physiological components of the subject, which is considered an ecologically valid paradigm for studying emotion. Several studies investigate the emotional responses to different VR tasks or games using subjective scales. However, little research regards VR as an eliciting material, especially when systematically analyzing emotional processes in VR from a neurophysiological perspective. To fill this gap and scientifically evaluate VR's ability to be used as an active method for emotion elicitation, we investigate the dynamic relationship between explicit information (subjective evaluations) and implicit information (objective neurophysiological data). A total of 28 participants are enlisted to watch eight VR videos while their SAM/IPQ scores and EEG data are recorded simultaneously. In ecologically valid scenarios, the subjective results demonstrate that VR has significant advantages for evoking emotion in arousal-valence. This conclusion is backed by our examination of objective neurophysiological evidence that VR videos effectively induce high-arousal emotions. In addition, we obtain features of critical channels and frequency oscillations associated with emotional valence, thereby validating previous research in more lifelike circumstances. In particular, we discover hemispheric asymmetry in the occipital region under high and low emotional arousal, which adds to our understanding of neural features and the dynamics of emotional arousal. As a result, we successfully integrate EEG and VR to demonstrate that VR is more pragmatic for evoking natural feelings and is beneficial for emotional research. Our research has set a precedent for new methodologies of using VR induction paradigms to acquire a more reliable explanation of affective computing.
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