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Virtual Faces Expressing Emotions: An Initial Concomitant and Construct Validity Study

机译:表达情感的虚拟面孔:初步伴随和建构效度研究

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摘要

>Background: Facial expressions of emotions represent classic stimuli for the study of social cognition. Developing virtual dynamic facial expressions of emotions, however, would open-up possibilities, both for fundamental and clinical research. For instance, virtual faces allow real-time Human–Computer retroactions between physiological measures and the virtual agent.>Objectives: The goal of this study was to initially assess concomitants and construct validity of a newly developed set of virtual faces expressing six fundamental emotions (happiness, surprise, anger, sadness, fear, and disgust). Recognition rates, facial electromyography (zygomatic major and corrugator supercilii muscles), and regional gaze fixation latencies (eyes and mouth regions) were compared in 41 adult volunteers (20 ♂, 21 ♀) during the presentation of video clips depicting real vs. virtual adults expressing emotions.>Results: Emotions expressed by each set of stimuli were similarly recognized, both by men and women. Accordingly, both sets of stimuli elicited similar activation of facial muscles and similar ocular fixation times in eye regions from man and woman participants.>Conclusion: Further validation studies can be performed with these virtual faces among clinical populations known to present social cognition difficulties. Brain–Computer Interface studies with feedback–feedforward interactions based on facial emotion expressions can also be conducted with these stimuli.
机译:>背景:情绪的面部表情代表了研究社会认知的经典刺激。但是,开发情感的虚拟动态面部表情将为基础研究和临床研究开拓可能性。例如,虚拟面孔允许在生理措施和虚拟代理之间进行实时的人机交互。>目标:本研究的目的是初步评估伴随者并构建一组新开发的虚拟人的有效性。表达六种基本情绪的面孔(幸福,惊奇,愤怒,悲伤,恐惧和厌恶)。在演示真实和虚拟成年人的视频剪辑的演示过程中,对41名成人志愿者(20♂,21♀)中的识别率,面部肌电图(zy肌主要和皱纹肌)和区域凝视注视潜伏期(眼睛和嘴巴区域)进行了比较。 >结果:男人和女人都同样认识到每种刺激所表达的情感。因此,这两组刺激在男女参与者的眼睛区域引起了相似的面部肌肉激活和相似的眼部固定时间。>结论:可以在已知的临床人群中用这些虚拟面孔进行进一步的验证研究。当前的社会认知困难。也可以在这些刺激下进行基于面部表情的基于反馈-前馈相互作用的脑机接口研究。

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