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Matching and Reaching Depth Judgments with Real and Augmented Reality Targets

机译：将深度判断与真实和增强现实目标匹配和达到

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摘要

Many compelling augmented reality (AR) applications require users to correctly perceive the location of virtual objects, some with accuracies as tight as 1 mm. However, measuring the perceived depth of AR objects at these accuracies has not yet been demonstrated. In this paper, we address this challenge by employing two different depth judgment methods, and , in a series of three experiments, where observers judged the depth of real and AR target objects presented at reaching distances. Our experiments found that observers can accurately match the distance of a real target, but when viewing an AR target through collimating optics, their matches systematically overestimate the distance by 0.5 to 4.0 cm. However, these results can be explained by a model where the collimation causes the eyes’ vergence angle to rotate outward by a constant angular amount. These findings give error bounds for using collimating AR displays at reaching distances, and suggest that for these applications, AR displays need to provide an adjustable focus. Our experiments further found that observers initially reach ∼4 cm too short, but reaching accuracy improves with both consistent proprioception and corrective visual feedback, and eventually becomes nearly as accurate as matching.
机译：许多引人注目的增强现实（AR）应用程序要求用户正确感知虚拟对象的位置，其中一些对象的精确度高达1毫米。但是，尚未证明在这些精度下测量AR对象的感知深度。在本文中，我们通过使用两种不同的深度判断方法来应对这一挑战，并且在一系列三个实验中，观察者判断了到达距离处呈现的真实和AR目标物体的深度。我们的实验发现，观察者可以准确匹配真实目标的距离，但是当通过准直光学系统观察AR目标时，他们的匹配会系统地高估该距离0.5至4.0 cm。但是，这些结果可以用一个模型来解释，在该模型中，准直导致眼睛的发散角向外旋转恒定的角度量。这些发现为在到达距离处使用准直AR显示器提供了误差范围，并建议对于这些应用，AR显示器需要提供可调焦距。我们的实验进一步发现，观察者最初到达的距离太短了约4厘米，但是通过一致的本体感受和矫正的视觉反馈，达到的精确度都得到了提高，最终变得与匹配几乎一样精确。

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