Route selection in non-Euclidean virtual environments.

Route selection in non-Euclidean virtual environments.
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DOI:
10.1371/journal.pone.0247818
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Glennerster A
Glennerster A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Muryy A;Glennerster A

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人们在不熟悉的环境中选择路线的方式提供了关于他们使用的基本表征的线索。测试观察者表示的性质的一种方法是,当他们在其中移动时操纵场景的结构,并测量性能的哪些方面受到显著影响,哪些方面不受影响。我们记录了参与者在虚拟迷宫中到达以前观看过的目标的路线。迷宫要么是物理上可以实现的,要么是不可能的(后者包含了改变场景布局的虫洞,当时没有任何明显的变化)。我们发现,即使在物理上不可能的环境中,参与者通常也能找到记忆中的物体之间的最短路径,尽管早期的一项研究表明,在物理上不可能的环境中,指出这一点是明显的错误。在物理上不可能的情况下,在交界处做出的选择在更大程度上受到该选择是否在过去导致发现目标的影响(与最短距离预测相比)。另一方面,在物理上可实现的迷宫中,交叉点的选择更多地取决于到目标的最短距离。这种结果模式与空间的图状表示的想法兼容,该空间表示可以包括关于遍历每条边的先前成功或失败的信息以及关于节点之间的距离的信息。我们的结果表明,迷宫的复杂性可能决定了其中哪一个在影响导航选择方面更重要。
The way people choose routes through unfamiliar environments provides clues about the underlying representation they use. One way to test the nature of observers’ representation is to manipulate the structure of the scene as they move through it and measure which aspects of performance are significantly affected and which are not. We recorded the routes that participants took in virtual mazes to reach previously-viewed targets. The mazes were either physically realizable or impossible (the latter contained ‘wormholes’ that altered the layout of the scene without any visible change at that moment). We found that participants could usually find the shortest route between remembered objects even in physically impossible environments, despite the gross failures in pointing that an earlier study showed are evident in the physically impossible environment. In the physically impossible conditions, the choice made at a junction was influenced to a greater extent by whether that choice had, in the past, led to the discovery of a target (compared to a shortest-distance prediction). In the physically realizable mazes, on the other hand, junction choices were determined more by the shortest distance to the target. This pattern of results is compatible with the idea of a graph-like representation of space that can include information about previous success or failure for traversing each edge and also information about the distance between nodes. Our results suggest that complexity of the maze may dictate which of these is more important in influencing navigational choices.
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