基于hmd的沉浸式数据分析免提导航技术的评估

Daniel Zielasko, Sven Horn, Sebastian Freitag, B. Weyers, T. Kuhlen
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引用次数: 75

摘要

佩戴头戴式显示器时,为了充分利用沉浸式数据分析的潜力,用户必须能够在空间数据中进行导航。我们收集、开发并评估了5种不同的免提导航方法,这些方法可以在分析师通常的工作场所使用。所有的方法都符合易学和廉价的要求,以融入现有的工作场所。我们对23名参与者进行了一项用户研究,结果表明身体倾斜隐喻和加速计踏板隐喻的效果最好。在给定的任务中,参与者必须确定大型3D图中不同顶点对之间的最短路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of hands-free HMD-based navigation techniques for immersive data analysis
To use the full potential of immersive data analysis when wearing a head-mounted display, users have to be able to navigate through the spatial data. We collected, developed and evaluated 5 different hands-free navigation methods that are usable while seated in the analyst's usual workplace. All methods meet the requirements of being easy to learn and inexpensive to integrate into existing workplaces. We conducted a user study with 23 participants which showed that a body leaning metaphor and an accelerometer pedal metaphor performed best. In the given task the participants had to determine the shortest path between various pairs of vertices in a large 3D graph.
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