Department of Psychology, University of Arizona, Tucson, AZ, 85721, USA.
Department of Neurobiology and Behavior, University of California, Irvine, CA, 92697, USA.
Psychol Res. 2023 Jul;87(5):1644-1664. doi: 10.1007/s00426-022-01739-y. Epub 2022 Oct 1.
Previous work has shown how different interfaces (i.e., route navigation, maps, or a combination of the two) influence spatial knowledge and recollection. To test for the existence of intermediate representations along an egocentric-to-allocentric continuum, we developed a novel task, tabletop navigation, to provide a mixture of cues that inform the emergence of egocentric and allocentric representations or strategies. In this novel tabletop task, participants navigated a remote-controlled avatar through a tabletop scale model of the virtual city. Participants learned virtual cities from either navigating routes, studying maps, or our new tabletop navigation task. We interleaved these learning tasks with either an in situ pointing task (the scene- and orientation-dependent pointing [SOP] task) or imagined judgements of relative direction (JRD) pointing. In Experiment 1, performance on each memory task was similar across learning tasks and performance on the route and map learning tasks correlated with more precise spatial recall on both the JRD and SOP tasks. Tabletop learning performance correlated with SOP performance only, suggesting a reliance on egocentric strategies, although increased utilization of the affordances of the tabletop task were related to JRD performance. In Experiment 2, using a modified criterion map learning task, participants who learned using maps provided more precise responses on the JRD compared to route or tabletop learning. Together, these findings provide mixed evidence for both optimization and egocentric predominance after learning from the novel tabletop navigation task.
先前的工作已经表明,不同的界面(即路线导航、地图或两者的组合)如何影响空间知识和回忆。为了测试在自我中心到他心连续体上是否存在中间表示,我们开发了一种新的任务,即桌面导航,提供了混合线索,以告知自我中心和他心表示或策略的出现。在这个新的桌面任务中,参与者通过桌面比例模型的虚拟城市远程控制一个虚拟化身进行导航。参与者通过导航路线、研究地图或我们的新桌面导航任务来学习虚拟城市。我们在这些学习任务之间穿插了现场和方向依赖的指向任务(场景和方向依赖的指向任务,即 SOP 任务)或想象中的相对方向判断(JRD)指向任务。在实验 1 中,每个记忆任务的表现都在学习任务中相似,并且路线和地图学习任务的表现与 JRD 和 SOP 任务的更精确的空间回忆相关。桌面学习表现仅与 SOP 表现相关,这表明依赖于自我中心策略,尽管增加了对桌面任务的可利用性的利用与 JRD 表现相关。在实验 2 中,使用修改后的标准地图学习任务,与路线或桌面学习相比,使用地图学习的参与者在 JRD 上提供了更精确的反应。总的来说,这些发现为从新的桌面导航任务学习后优化和自我中心主导的混合证据提供了支持。