首页> 外文会议>Proceedings of the Human Factors and Ergonomics Society 2018 annual meeting >Learning configural spatial knowledge from navigating in unstructured and unfamiliar virtual environments
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Learning configural spatial knowledge from navigating in unstructured and unfamiliar virtual environments

机译:通过在非结构化和陌生的虚拟环境中导航来学习配置空间知识

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Lynch’s (1960) description of the importance of districts for spatial memory was used as a basis for looking at the contributions of semantic meaning and physical structure to learning configural spatial knowledge about an unfamiliar virtual environment. According to Lynch, meaningful grouping, not just geometric structure should facilitate spatial learning, perhaps also assisted by structure. In a virtual environment consisting of four rooms/quadrants, both the presence or absence of walls and the semantic organization of the landmark objects (grouped versus distributed category members) were factorially combined. Both object locations and navigation paths were randomly determined. Angular error was reduced by the presence of walls and by the grouping of category members in rooms/quadrants, particularly when walls were present. Performance was better than chance even when object categories were distributed evenly throughout the environment and walls were not present. The theoretical and practical implications of these results were described.
机译:林奇(Lynch,1960年)对区域对空间记忆的重要性的描述被用作研究语义和物理结构对学习有关陌生虚拟环境的配置空间知识的贡献的基础。根据林奇的观点,有意义的分组,不仅是几何结构,还应促进空间学习,也许还应借助结构。在由四个房间/象限组成的虚拟环境中,将有无墙壁和地标对象(分组成员与分布式类别成员)的语义组织进行了因子组合。对象位置和导航路径都是随机确定的。墙壁的存在和房间/象限中类别成员的分组减少了角度误差,特别是当墙壁存在时。即使对象类别在整个环境中均匀分布并且没有墙壁,性能还是要比机会好。描述了这些结果的理论和实践意义。

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