Depth judgment tasks and environments in near-field augmented reality

Gurjot Singh, J. Swan, J. A. Jones, S. Ellis
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引用次数: 4

Abstract

In this poster abstract we describe an experiment that measured depth judgments in optical see-through augmented reality at near-field distances of 34 to 50 centimeters. The experiment compared two depth judgment tasks: perceptual matching, a closed-loop task, and blind reaching, a visually open-loop task. The experiment tested each of these tasks in both a real-world environment and an augmented reality environment, and used a between-subjects design that included 40 participants. The experiment found that matching judgments were very accurate in the real world, with errors on the order of millimeters and very little variance. In contrast, matching judgments in augmented reality showed a linear trend of increasing overestimation with increasing distance, with a mean overestimation of ∼ 1 cm. With reaching judgments participants underestimated ∼ 4.5 cm in both augmented reality and the real world. We also discovered and solved a calibration problem that arises at near-field distances.
近场增强现实中的深度判断任务和环境
在这张海报摘要中,我们描述了一个实验,在34到50厘米的近场距离测量光学透明增强现实的深度判断。实验比较了两种深度判断任务:知觉匹配(闭环任务)和盲取(视觉开环任务)。实验在现实环境和增强现实环境中测试了这些任务,并采用了包括40名参与者的中间受试者设计。实验发现,匹配判断在现实世界中非常准确,误差在毫米量级,差异很小。相比之下,增强现实中的匹配判断随着距离的增加呈现出高估增加的线性趋势,平均高估约为1 cm。在增强现实和现实世界中,参与者在做出判断时都低估了4.5厘米。我们还发现并解决了在近场距离出现的校准问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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