Analysis of the Saliency of Color-Based Dichoptic Cues in Optical See-Through Augmented Reality

Analysis of the Saliency of Color-Based Dichoptic Cues in Optical See-Through Augmented Reality
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DOI:
10.1109/tvcg.2022.3195111
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发表时间:
2023-12-01
影响因子:
5.2
通讯作者:
Welch,Gregory F.
Welch,Gregory F.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Erickson,Austin;Bruder,Gerd;Welch,Gregory F.

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在普适增强现实(AR)的未来,AR系统将需要能够有效地吸引或引导用户的注意力到他们的物理-虚拟环境中的视觉兴趣点。由于AR图像覆盖在用户对其物理环境的视图之上,因此这些注意力引导技术不仅必须与其他虚拟图像竞争,而且还必须与用户物理环境中的分散或吸引注意力的特征竞争。由于普遍的AR用户将发现他们自己处于广泛的物理-虚拟环境中,因此难以在不执行对用户环境的视觉分析并且改变提示的外观以从其周围环境中突出的情况下设计向用户“弹出”的视觉提示。在这篇文章中,我们提出了一个初步调查的潜在用途的双视视觉线索的光学透视AR显示器,特别是线索,涉及有一个不同的色调,饱和度,或值之间的用户的眼睛。这些类型的提示已被证明在其他立体显示器上呈现时会被用户预先注意处理,并且也可能是在光学透视AR显示器上吸引用户注意力的有效方法。我们提出两个用户研究:一个评估光学透视显示器上的二视视觉线索的显著性,另一个评估它们的主观质量。我们的研究结果表明,基于色调的二视线索或“禁忌颜色”可能是特别有效的,为这些目的,实现显着降低错误率在弹出任务相比,基于值和饱和度的线索。
In a future of pervasive augmented reality (AR), AR systems will need to be able to efficiently draw or guide the attention of the user to visual points of interest in their physical-virtual environment. Since AR imagery is overlaid on top of the user's view of their physical environment, these attention guidance techniques must not only compete with other virtual imagery, but also with distracting or attention-grabbing features in the user's physical environment. Because of the wide range of physical-virtual environments that pervasive AR users will find themselves in, it is difficult to design visual cues that “pop out” to the user without performing a visual analysis of the user's environment, and changing the appearance of the cue to stand out from its surroundings. In this article, we present an initial investigation into the potential uses of dichoptic visual cues for optical see-through AR displays, specifically cues that involve having a difference in hue, saturation, or value between the user's eyes. These types of cues have been shown to be preattentively processed by the user when presented on other stereoscopic displays, and may also be an effective method of drawing user attention on optical see-through AR displays. We present two user studies: one that evaluates the saliency of dichoptic visual cues on optical see-through displays, and one that evaluates their subjective qualities. Our results suggest that hue-based dichoptic cues or “Forbidden Colors” may be particularly effective for these purposes, achieving significantly lower error rates in a pop out task compared to value-based and saturation-based cues.