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Different “routes” to a cognitive map: dissociable forms of spatial knowledge derived from route and cartographic map learning

Abstract

An important, but as yet incompletely resolved, issue is whether spatial knowledge acquired during navigation differs significantly from that acquired by studying a cartographic map. This, in turn, is relevant to understanding the generalizability of the concept of a “cognitive map,” which is often likened to a cartographic map. On the basis of previous theoretical proposals, we hypothesized that route and cartographic map learning would produce differences in the dynamics of acquisition of landmark-referenced (allocentric) knowledge, relative to view-referenced (egocentric) knowledge. We compared this model with competing predictions from two other models linked to route versus map learning. To test these ideas, participants repeatedly performed a judgment of relative direction (JRD) and a scene- and orientation-dependent pointing (SOP) task while undergoing route and cartographic map learning of virtual spatial environments. In Experiment 1, we found that map learning led to significantly faster improvements in JRD pointing accuracy than did route learning. In Experiment 2, in contrast, we found that route learning led to more immediate and greater improvements overall in SOP accuracy, as compared to map learning. Comparing Experiments 1 and 2, we found a significant three-way interaction effect, indicating that improvements in performance differed for the JRD versus the SOP task as a function of route versus map learning. We interpreted these findings as suggesting that the learning modality differentially affects the dynamics of how we utilize primarily landmark-referenced versus view-referenced knowledge, suggesting potential differences in how we utilize spatial representations acquired from routes versus cartographic maps.

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Notes

  1. Although Siegel and White (1975) are not explicit as to whether routes and maps go through the same hierarchical steps, they state on page 43 that “Survey maps appear as coordinations of routes within an objective frame of reference . . . [and are] possible only after both routes and an object frame of reference exist.” This statement would seem to imply that both modes of learning involve the same steps.

  2. Although kinesthetic and vestibular inputs contribute to egocentric representation and are degraded in virtual reality (Bakker, Werkhoven, & Passenier, 1999), because view and orientation are considered primary influences on egocentric representation (Klatzky, 1998), we consider the SOP task to be a measure primarily of egocentric representation. Certainly, allocentric representation may, in some instances, aid in solving the egocentric task. This should primarily be the case, though, during disorientation, as was suggested by Waller and Hodgson (2006). By ensuring participants’ orientation during the SOP task, we reasoned that participants would primarily employ egocentric representations during that task.

  3. As was pointed out by Mou et al. (2004), the JRD pointing task has both egocentric and allocentric components (Mou et al., 2004). This is because interobject relations still must be mapped onto an egocentric frame (one’s current position) while, simultaneously, one must use external coordinates (the other landmarks) to make judgments about the relative positions of the three objects in the environment. Particularly in the absence of orienting information, and as compared with the SOP task, however, the JRD task provides insight primarily into landmark-referenced knowledge.

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Author note

The authors thank John Beck and Evan Layher for assistance with the data. The authors also thank the Kahana lab for generously sharing software, and Colin Kyle for technical assistance. We also thank Weimin Mou and the UC–Davis Memory Group for helpful comments on an earlier draft of the manuscript.

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Correspondence to Arne D. Ekstrom.

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Zhang, H., Zherdeva, K. & Ekstrom, A.D. Different “routes” to a cognitive map: dissociable forms of spatial knowledge derived from route and cartographic map learning. Mem Cogn 42, 1106–1117 (2014). https://doi.org/10.3758/s13421-014-0418-x

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  • DOI: https://doi.org/10.3758/s13421-014-0418-x

Keywords

  • Spatial navigation
  • Spatial memory
  • Route learning
  • Map learning
  • Spatial knowledge