投影网格提示:在增强现实中感知地下物体深度的有效方法:投影网格提示:在增强现实中感知地下物体深度的有效方法

Cindy Becher, Sébastien Bottecchia, P. Desbarats
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引用次数: 1

摘要

增强现实越来越多地用于可视化地下网络。然而,深度感知的标准视觉线索从未在涉及物理遮挡(例如地面)的虚拟对象(例如埋藏网络的元素)的背景下使用用户实验进行彻底评估。因此,我们基于两个众所周知的深度线索网格和阴影锚的组合来评估两种技术的优缺点。更具体地说,我们探讨了每种组合如何有助于定位和深度感知。我们表明,与仅使用网格或没有视觉提示相比,仅使用阴影锚点或与网格结合使用时,用户产生的错误减少了2.7倍,感知工作量减少了2.5倍(NASA-TLX评分)。我们的调查研究表明,它们是两种有效的地下物体可视化技术。我们还建议使用一种或另一种技术,这取决于它们将被使用的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Projection Grid Cues : Une manière efficace de percevoir les profondeurs des objets souterrains en Réalité Augmentée: Projection Grid Cues: An Efficient Way to Perceive the Depths of Underground Objects in Augmented Reality
Augmented Reality is increasingly used for visualizing underground networks. However, standard visual cues for depth perception have never been thoroughly evaluated using user experiments in a context involving physical occlusion (e.g. ground) of virtual objects (e.g. elements of buried a network). We hence evaluate the benefits and drawbacks of two techniques based on the combinations of two well-known depth cues grid and shadows anchors. More specifically, we explore how each combination can contribute to positioning, and depth perception. We show that with shadows anchors only or combined with the grid, users generate 2.7 times fewer errors and have a 2.5 times lower perceived workload (NASA-TLX score) than with the grid only or no visual cue. Our investigation study shows that they are two effective techniques for visualizing underground objects. We also recommend the use of one technique or another depending on the situation in which they will be used.
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