IEEE Trans Vis Comput Graph. 2019 Sep;25(9):2821-2837. doi: 10.1109/TVCG.2018.2854737. Epub 2018 Jul 10.
In Augmented Reality (AR), search performance for outdoor tasks is an important metric for evaluating the success of a large number of AR applications. Users must be able to find content quickly, labels and indicators must not be invasive but still clearly noticeable, and the user interface should maximize search performance in a variety of conditions. To address these issues, we have set up a series of experiments to test the influence of virtual characteristics such as color, size, and leader lines on the performance of search tasks and noticeability in both real and simulated environments. We evaluate two primary areas, including 1) the effects of peripheral field of view (FOV) limitations and labeling techniques on target acquisition during outdoor mobile search, and 2) the influence of local characteristics such as color, size, and motion on text labels over dynamic backgrounds. The first experiment showed that limited FOV will severely limit search performance, but that appropriate placement of labels and leaders within the periphery can alleviate this problem without interfering with walking or decreasing user comfort. In the second experiment, we found that different types of motion are more noticeable in optical versus video see-through displays, but that blue coloration is most noticeable in both. Results can aid in designing more effective view management techniques, especially for wider field of view displays.
在增强现实 (AR) 中,户外任务的搜索性能是评估大量 AR 应用程序成功与否的重要指标。用户必须能够快速找到内容,标签和指示器不能具有侵入性,但仍要清晰可见,用户界面应在各种条件下最大限度地提高搜索性能。为了解决这些问题,我们进行了一系列实验,以测试虚拟特征(如颜色、大小和引导线)对搜索任务性能和真实及模拟环境中可见性的影响。我们评估了两个主要领域,包括 1)在户外移动搜索中,周边视野 (FOV) 限制和标记技术对目标获取的影响,以及 2)颜色、大小和运动等局部特征对动态背景上文本标签的影响。第一项实验表明,有限的 FOV 将严重限制搜索性能,但在周边适当放置标签和引导线可以缓解此问题,而不会干扰行走或降低用户舒适度。在第二项实验中,我们发现不同类型的运动在光学透视和视频透视显示器中更为明显,但在这两种显示器中,蓝色调最为明显。这些结果有助于设计更有效的视图管理技术,特别是对于更宽的视野显示器。