对比VR与2D环境下生成手势的感知效果，发现VR更易提升真实感。
Gesture Evaluation in Virtual Reality
- 在VR和2D中对比三种2023年GENEA挑战模型生成的手势
- VR下手势平均评分略高，动作捕捉数据效果最显著
- 适合关注虚拟角色交互真实性的研究者和开发者
手势是人类交流的核心，通过非语言表达丰富互动。虚拟化身越来越多地使用人工智能生成的手势以增强拟真度，但现有评估大多局限于二维环境。虚拟现实（VR）提供了沉浸式替代方案，可能影响对手势的感知。本文对2023年GENEA挑战中的三个模型在VR与2D环境下的计算机生成手势进行了比较评估。结果表明，在VR中观看的手势平均评分略高，尤其在动作捕捉的‘真实运动’数据上效果最明显。尽管各模型的相对排名在两种环境中保持一致，但VR显著改变了参与者的整体感知，并展现出优于传统2D评估的独特优势。
原文摘要 · Abstract (English)
Gestures are central to human communication, enriching interactions through non-verbal expression. Virtual avatars increasingly use AI-generated gestures to enhance life-likeness, yet evaluations have largely been confined to 2D. Virtual Reality (VR) provides an immersive alternative that may affect how gestures are perceived. This paper presents a comparative evaluation of computer-generated gestures in VR and 2D, examining three models from the 2023 GENEA Challenge. Results show that gestures viewed in VR were rated slightly higher on average, with the strongest effect observed for motion-capture "true movement." While model rankings remained consistent across settings, VR influenced participants' overall perception and offered unique benefits over traditional 2D evaluation.
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