当前位置: X-MOL 学术Spatial Cognition & Computation › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Path visualization: a method for objective measurement of spatial visualization
Spatial Cognition & Computation ( IF 1.6 ) Pub Date : 2019-07-28 , DOI: 10.1080/13875868.2019.1643867
Don R. Lyon 1 , Glenn Gunzelmann 2 , Michael Krusmark 3
Affiliation  

ABSTRACT

The ability to mentally represent spatial information is a fundamental cognitive process. To many people, this process feels a bit like visual perception, hence the term ‘spatial visualization’. In this paper, we describe a method for measuring the accuracy of spatial visualization, specifically visualization of a complex path in imaginary space. A critical feature of this method (called Path Visualization) is that it relies on the detection of intersections in a visualized path. Intersection detection is an inherently spatial task that requires a spatial representation. In this paper, we show how the Path Visualization method works, and how it can be customized to address several key research issues in human spatial cognition.



中文翻译:

路径可视化:一种用于空间可视化的客观测量方法

摘要

从心理上表现空间信息的能力是一个基本的认知过程。对于许多人来说,此过程有点像视觉感知,因此称为“空间可视化”。在本文中,我们描述了一种测量空间可视化准确性的方法,特别是虚构空间中复杂路径的可视化。该方法(称为路径可视化)的关键特征在于它依赖于可视化路径中的相交检测。交叉口检测是一种固有的空间任务,需要空间表示。在本文中,我们展示了路径可视化方法的工作原理,以及如何对其进行定制以解决人类空间认知中的几个关键研究问题。

更新日期:2019-07-28
down
wechat
bug