Liu Jia, Singh Avinash Kumar, Wunderlich Anna, Gramann Klaus, Lin Chin-Teng
CIBCI Centre, Australian AI Institute, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia.
Biological Psychology and Neuroergonomics, Berlin Institute of Technology, Berlin, Germany.
NPJ Sci Learn. 2022 Jul 19;7(1):17. doi: 10.1038/s41539-022-00132-z.
Although beacon- and map-based spatial strategies are the default strategies for navigation activities, today's navigational aids mostly follow a beacon-based design where one is provided with turn-by-turn instructions. Recent research, however, shows that our reliance on these navigational aids is causing a decline in our spatial skills. We are processing less of our surrounding environment and relying too heavily on the instructions given. To reverse this decline, we need to engage more in map-based learning, which encourages the user to process and integrate spatial knowledge into a cognitive map built to benefit flexible and independent spatial navigation behaviour. In an attempt to curb our loss of skills, we proposed a navigation assistant to support map-based learning during active navigation. Called the virtual global landmark (VGL) system, this augmented reality (AR) system is based on the kinds of techniques used in traditional orienteering. Specifically, a notable landmark is always present in the user's sight, allowing the user to continuously compute where they are in relation to that specific location. The efficacy of the unit as a navigational aid was tested in an experiment with 27 students from the University of Technology Sydney via a comparison of brain dynamics and behaviour. From an analysis of behaviour and event-related spectral perturbation, we found that participants were encouraged to process more spatial information with a map-based strategy where a silhouette of the compass-like landmark was perpetually in view. As a result of this technique, they consistently navigated with greater efficiency and better accuracy.
尽管基于信标和地图的空间策略是导航活动的默认策略，但如今的导航辅助工具大多采用基于信标的设计，即提供逐向导航指令。然而，最近的研究表明，我们对这些导航辅助工具的依赖正在导致我们空间技能的下降。我们对周围环境的处理减少，过度依赖所提供的指令。为了扭转这种下降趋势，我们需要更多地参与基于地图的学习，这鼓励用户将空间知识处理并整合到一个构建的认知地图中，以利于灵活和独立的空间导航行为。为了试图遏制我们技能的丧失，我们提出了一种导航助手，以在主动导航期间支持基于地图的学习。这个名为虚拟全球地标（VGL）系统的增强现实（AR）系统是基于传统定向越野中使用的技术类型。具体来说，一个显著的地标始终出现在用户视野中，允许用户不断计算他们相对于该特定位置的位置。通过对大脑动态和行为的比较，在一项对悉尼科技大学27名学生进行的实验中测试了该装置作为导航辅助工具的有效性。从对行为和事件相关频谱扰动的分析中，我们发现，在基于地图的策略中，当类似指南针的地标的轮廓始终可见时，参与者被鼓励处理更多的空间信息。由于这项技术，他们始终以更高的效率和更好的准确性进行导航。
