研究欺凌行为的非语言行为特征,开发社会虚拟现实中的自动识别系统

Cristina Fiani, Stacy Marsella
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引用次数: 3

摘要

我们着眼于通过社交虚拟现实(VR)中的非语言行为自动检测社交不适和社交焦虑的可能性。这一点很重要,因为一个发达的自动识别系统可以在不需要父母实时监督的情况下促进社交VR的干预和调节。为了初步探索这个识别问题,我们制作了一组代表欺凌场景的小3D刺激的原型,并在一个小型的形成性初步研究中探索了人类观察者从刺激中感知到的东西。在开发自动识别系统之前,需要对社会虚拟现实中不同的问题情况进行研究,并对更多的参与者进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Non-verbal Behavior Features of Bullying for the Development of an Automatic Recognition System in Social Virtual Reality
We look at the possibilities of automatically detecting social discomfort and social anxiety via non-verbal behaviours in social Virtual Reality (VR). This is important because a well-developed automatic recognition system could facilitate interventions and moderation in social VR without requiring real-time parental supervision. To initially explore this question of recognition, we prototyped a small set of 3D stimuli representing a bullying scenario and explored in a small formative preliminary study what human observers perceived from the stimuli. Future work is required with different problematic situations in social VR and evaluations with more participants before developing an automatic recognition system.
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