IEEE Trans Vis Comput Graph. 2020 Feb;26(2):1385-1398. doi: 10.1109/TVCG.2018.2869729. Epub 2018 Sep 12.
Many augmented reality (AR) applications operate within near-field reaching distances, and require matching the depth of a virtual object with a real object. The accuracy of this matching was measured in three experiments, which examined the effect of focal distance, age, and brightness, within distances of 33.3 to 50 cm, using a custom-built AR haploscope. Experiment I examined the effect of focal demand, at the levels of collimated (infinite focal distance), consistent with other depth cues, and at the midpoint of reaching distance. Observers were too young to exhibit age-related reductions in accommodative ability. The depth matches of collimated targets were increasingly overestimated with increasing distance, consistent targets were slightly underestimated, and midpoint targets were accurately estimated. Experiment II replicated Experiment I, with older observers. Results were similar to Experiment I. Experiment III replicated Experiment I with dimmer targets, using young observers. Results were again consistent with Experiment I, except that both consistent and midpoint targets were accurately estimated. In all cases, collimated results were explained by a model, where the collimation biases the eyes' vergence angle outwards by a constant amount. Focal demand and brightness affect near-field AR depth matching, while age-related reductions in accommodative ability have no effect.
许多增强现实 (AR) 应用程序在近场可达距离内运行，并且需要将虚拟对象的深度与真实对象匹配。在距离为 33.3 至 50 厘米的范围内，使用定制的 AR 哈普斯科普仪，通过三个实验来测量这种匹配的准确性，这些实验检查了焦距、年龄和亮度的影响。实验 I 研究了焦距需求的影响，其水平为平行（无限焦距），与其他深度线索一致，以及在可达距离的中点。被试者太年轻，无法表现出与年龄相关的调节能力下降。随着距离的增加，平行目标的深度匹配越来越被高估，一致目标被稍微低估，中点目标被准确估计。实验 II 用年长的观察者重复了实验 I。结果与实验 I 相似。实验 III 用较暗的目标重复了实验 I，使用年轻的观察者。结果再次与实验 I 一致，除了一致和中点目标都被准确估计。在所有情况下，平行结果都可以用一个模型来解释，该模型通过一个固定量向外偏置眼睛的聚散角。焦距需求和亮度会影响近场 AR 深度匹配，而与年龄相关的调节能力下降没有影响。
