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Augmented-reality visualizations guided by cognition: perceptual heuristics for combining visible and obscured information

机译:通过认知引导的增强 - 现实可视化:感知启发式可见和模糊信息

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One of the unique applications of Mixed and Augmented Reality (MR / AR) systems is that hidden and occluded objects can be readily visualized. We call this specialized use of MR/AR, Obscured Information Visualization (OIV). In this paper, we describe the beginning of a research program designed to develop such visualizations through the use of principles derived from perceptual psychology and cognitive science. In this paper we surveyed the cognitive science literature as it applies to such visualization tasks, described experimental questions derived from these cognitive principles, and generated general guidelines that can be used in designing future OIV systems (as well improving AR displays more generally). Here we also report the results from an experiment that utilized a functioning AR-OIV system: we found that in a relative depth judgment, subjects reported rendered objects as being in front of real-world objects, except when additional occlusion and motion cues were presented together.
机译:混合和增强现实(MR / AR)系统的独特应用之一是隐藏和遮挡物体可以容易地可视化。我们称之为MR / AR的专业使用,模糊信息可视化(OIV)。在本文中,我们描述了一个研究计划,旨在通过使用从感性认识心理学和认知科学的衍生原则,以发展这种可视化的开始。在本文中,我们调查了认知的科学文献,因为它适用于这种可视化任务,描述了从这些认知原则的实验问题,并产生了可以用于设计未来OIV系统的一般指导方针(也可以更好地展现出更好的AR)。在这里,我们还报告了利用功能AR-OIV系统的实验结果:我们发现在相对深度判断中,受试者报告称为在现实世界对象前面的对象,除非呈现额外的遮挡和运动线索一起。

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