Investigating Hologram-Based Route Planning
Investigating Hologram-Based Route Planning
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DOI：
10.1111/j.1467-9671.2009.01158.x
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发表时间：
2009-06-01
影响因子：
2.4
通讯作者：
Tamir, Dan
中科院分区：
文献类型：
--
作者：
Fuhrmann, Sven;Komogortsev, Oleg;Tamir, Dan
人们通常认为三维地形图比传统的二维表示提供更有效的路线规划、导航、定向和寻路结果。这里报告的研究调查了三维空间映射是否比二维表示为路线规划提供更好的支持。在作为本研究一部分进行的一组实验中，人类受试者被随机展示旧金山的二维或三维全息图，并被要求规划起点和目的地之间的自行车路线。在第二项任务中，参与者使用这些全息图来识别显示区域中的最高海拔点。参与者在观看地理空间全息图和执行任务的整个过程中的眼球运动都被记录下来。眼动追踪指标分析以高统计置信度表明，三维全息地图可以实现更高效的路线规划。此外，研究小组正在开发一种新算法来分析参与者选择的路线和一组“好路线”之间的差异。该算法采用用于表示对象边界的技术和用于评估现代数字图像识别、图像配准和图像对齐应用中对象之间差异的方法。总体目标是创建一个用于研究和量化路线规划有效性的理论框架。
It is often assumed that three-dimensional topographic maps provide more effective route planning, navigation, orientation, and way-finding results than traditional two-dimensional representations. The research reported here investigates whether three-dimensional spatial mappings provide better support for route planning than two-dimensional representations. In a set of experiments performed as part of this research, human subjects were randomly shown either a two-or three-dimensional hologram of San Francisco and were asked to plan a bicycling route between an origin and a destination point. In a second task, participants used these holograms to identify the highest elevation point in the displayed area. The eye-movements of the participants, throughout the process of looking at the geospatial holograms and executing the tasks, were recorded. The eye-tracking metrics analysis indicates with a high statistical level of confidence that three-dimensional holographic maps enable more efficient route planning. In addition, the research group is developing a new algorithm to analyze the differences between participant-selected routes and a set of "good routes." The algorithm employs techniques used to represent the boundary of objects and methods for assessing the difference between objects in modern digital image recognition, image registration, and image alignment applications. The overall goal is to create a theoretical framework for investigating and quantifying route planning effectiveness.