LighterBody: RNN based Anticipated Virtual Body Makes You Feel Lighter

Tatsuya Kure, Shunichi Kasahara
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Abstract

The virtual body representation had shown the potential of intervention into the sense of body. To investigate how the temporal shift of body representation affects the user’s kinetic sensation, we developed a system to anticipate body movement with RNN. We then conducted a user study to assess the effect with the anticipated body movement and the system baseline. Results revealed that the transition from the baseline to the anticipated body induced a lighter bodyweight feeling, and the opposite transition induced a heavier feeling. Our work enlightens the potential of interactive manipulation of the full-body kinetic sensation using virtual body representation.
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LighterBody:基于RNN的预期虚拟身体让你感觉更轻
虚拟身体表现已经显示出干预身体感觉的潜力。为了研究身体表征的时间变化如何影响用户的运动感觉,我们开发了一个用RNN预测身体运动的系统。然后,我们进行了一项用户研究,以评估预期身体运动和系统基线的效果。结果显示,从基线到预期体重的转变会导致体重减轻的感觉,而相反的转变会导致体重增加的感觉。我们的工作启发了使用虚拟身体表征对全身运动感觉进行交互操作的潜力。
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