图形属性驱动在等距离路线之间进行导航选择
Luke Chi1, Michael J Starrett1, Yiwen Rao1
1Department of Neurobiology and Behavior, University of California, Irvine, 2205 McGaugh Hall, Irvine, CA 92697-4550, USA.
Neuropsychologia
|November 1, 2025
概括
人类的导航可能依赖于认知图表,而不是精确的认知地图. 参与者更喜欢更少转和更大面积的路线,即使路径长度相同,也表明结构,而不是尺度,空间表示的偏好.
科学领域:
- 认知科学是一种认知科学.
- 空间认知 空间认知
- 人类导航人类导航
背景情况:
- 认知地图传统上被视为尺度准确的空间表示.
- 最近的研究表明,人类导航可能并不总是与认知地图预测保持一致.
- 认知图形强调结构关系而不是精确的度量细节,为空间表示提供了替代模型.
研究的目的:
- 调查人类是否依赖精确的认知地图或结构认知图来导航.
- 为了确定路线结构特征是否影响导航选择,当指标信息模两可或无关时.
主要方法:
- 使用虚拟环境设计了两种替代性强制选择导航任务.
- 参与者探索的路线在结构特征上有所不同 (例如,转,面积大小),但长度相同.
- 使用沉浸式虚拟现实和桌面接口测试了导航.
主要成果:
- 参与者始终喜欢更少转和更大的开放区域的路线,而不管相同的公尺长度.
- 对于初始路径段较短的路线没有观察到偏好.
- 这些发现在虚拟现实和桌面交互方法中都是正确的.
结论:
- 人类的导航选择受到结构路线特性的影响,而不仅仅是指标精度,支持认知图模型.
- 参与者表现出对更简单,更结构化的路线的偏见,这表明他们依赖于拓或标记的图形表示.
- 这项研究提供了用于导航的认知图的证据,即使没有路线长度差异.
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