在虚拟化身上识别自己的动作:是我还是不是?

Anna C. Wellerdiek, Markus Leyrer, Ekaterina P. Volkova, D-S Chang, B. Mohler
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引用次数: 12

摘要

大多数时间点光图形用于动作识别,仅通过显示演员的运动关节来呈现动作。在这项研究中,我们感兴趣的是运动的自我识别是否随着不同的表征而改变。首先,我们捕捉了参与者的动作,并将它们重新映射到一个光点图形和一个男性和女性虚拟化身上。在第二部分中,同样的与会者被要求承认他们对所有三种代表提出的动议。我们发现,在所有表征和不同的动作中,对自己动作的识别率很高。尽管被参与者认为是最难的,但点状图形的识别率更高。在自我认知中,视觉化身的性别并不重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognizing your own motions on virtual avatars: is it me or not?
Most of the time point-light figures are used for motion-recognition, which present motions by only displaying the moving joints of the actor. In this study we were interested in whether self-recognition of motion changes with different representations. First, we captured participants' motions and remapped them on a point-light figure and a male and female virtual avatar. In the second part the same participants were asked to recognize their own motions on all three representations. We found that the recognition rate for own motions is high across all representations and different actions. The recognition rate was better on the point-light figure, despite being perceived as most difficult from the participants. The gender of the visual avatar did not matter in self-recognition.
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