自我相似性在增强现实中击败了运动控制 身体体重 感知 感知
IEEE transactions on visualization and computer graphics
|March 17, 2025
概括
虚拟人类的自我相似性在增强现实 (AR) 中显著提高了体现和自我识别. 然而,运动控制的影响比预期的要弱,个人因素也影响了人体体重的感知.
科学领域:
- 人与计算机的交互
- 虚拟现实 虚拟现实 虚拟现实
- 增强现实是一种增强现实.
背景情况:
- 体现感和自我认同对于沉浸式体验至关重要.
- 了解虚拟环境中的体重感知是实现现实互动的关键.
研究的目的:
- 调查虚拟人类自我相似性和运动控制对AR体现,自我识别和体重感知的影响.
- 探索影响身体重量估计在AR中的因素.
主要方法:
- 一个2x2混合设计实验,有60名参与者在AR中与虚拟人类互动.
- 操作虚拟的人类外观 (自我相似与通用) 和运动 (同步与独立).
- 在互动后对体现,自我识别和体重感知的评估.
主要成果:
- 自我相似性显著增强了体现,自我识别和体重估计的准确性.
- 与之前的虚拟现实研究相比,运动控制的影响较弱.
- 参与者的体重,自尊和身体形状问题也预测了体重估计.
结论:
- 虚拟人类自我相似性是用户在AR体现和识别的强有力的预测因素.
- 动力控制在AR中的影响可能与VR不同,需要进一步调查.
- 个人参与者特征在AR环境中显著调节人体体重感知.
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