Presentation Strategies for Micro-Navigation in the Physical World

N. Hamdan, Marcel Lahaye, Christian Corsten, Jan O. Borchers
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引用次数: 1

Abstract

This work provides first insights into supporting hierarchical micro-navigation in the physical world in a manner relevant to AR systems. In this paper, we study the performance of two presentation strategies in tasks that involve navigating to an object inside a hierarchy of physical containers within the user's reach. We consider two types of navigation aids: Those that provide route knowledge via step-by-step instructions, using simple graphical overlays, and those that provide survey knowledge via map-like overviews, using 3D depth visualizations. We performed a user study using a cardboard mock-up of a spatial display. Our experiment shows that in shallow hierarchies route aids and survey aids perform comparably in terms of navigation time and accuracy. When a target is embedded deeper into a structure, the performance of survey aids is affected negatively, while route aids maintain a consistent performance. Users re- ported that survey aids helped them understand a container hierarchy, but route aids required less processing time and effort, and thus, were more preferred. We found no significant effect of aid type on users' preference. Accordingly, we recommend considering the depth of task when employing these presentation strategies.
物理世界中微导航的呈现策略
这项工作为在物理世界中以与AR系统相关的方式支持分层微导航提供了第一个见解。在本文中,我们研究了两种表示策略在任务中的性能,这些任务涉及在用户范围内的物理容器层次结构中导航到对象。我们考虑了两种类型的导航辅助工具:那些通过逐步说明提供路线知识的,使用简单的图形叠加,以及那些通过类似地图的概述提供调查知识的,使用3D深度可视化。我们使用空间显示器的纸板模型进行了用户研究。我们的实验表明,在浅层次中,路线辅助设备和测量辅助设备在导航时间和精度方面表现相当。当目标嵌入结构较深时,测量辅助设备的性能受到负面影响,而路由辅助设备的性能保持一致。用户报告说,调查辅助工具帮助他们理解容器层次结构,但是路由辅助工具需要更少的处理时间和精力,因此更受欢迎。我们发现,援助类型对用户的偏好没有显著影响。因此,我们建议在使用这些表示策略时考虑任务的深度。
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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