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Long-Term Landmark and Route Memory Retention Acquired in a Real-World Map-Aided Navigation Task (Short Paper)

Authors Armand Kapaj , Christopher Hilton , Sara I. Fabrikant

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ACM Subject Classification
  • Human-centered computing → Visualization design and evaluation methods
  • Applied computing → Psychology
  • Applied computing → Cartography
Keywords
  • Long-term
  • spatial memory
  • retention
  • map-aided
  • real-world navigation

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Abstract

The visualization of landmarks in mobile maps has become a popular countermeasure to the negative effect navigation aids have on spatial learning. Landmarks are salient environmental cues that serve as cognitive anchors during navigation, facilitating spatial memory formation and long-term retention. However, longitudinal studies assessing long-term spatial memory retention acquired during mobile map-assisted navigation in the real world and what role visualized landmarks play in this context are still scarce. We report on a longitudinal study to assess long-term spatial memory retention of wayfinders who, two years prior, navigated only once a real-world route prescribed with a mobile map aid enriched with visually salient task-relevant landmarks. We report preliminary results on their long-term memory retention of acquired landmark and route knowledge. We found that participants retained meaningful long-term landmark and route knowledge over the two-year study period. While landmark knowledge decreased over the test-retest sessions, gained route knowledge was unaffected. These ecologically valid results contribute to a better understanding of spatial memory formation and long-term retention after one route exposure through a real-world environment, aided by a mobile map enriched with salient landmarks.

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Armand Kapaj, Christopher Hilton, and Sara I. Fabrikant. Long-Term Landmark and Route Memory Retention Acquired in a Real-World Map-Aided Navigation Task (Short Paper). In 16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 315, pp. 13:1-13:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.COSIT.2024.13

Author Details

Armand Kapaj
  • Geographic Information Visualization and Analysis (GIVA), Department of Geography, University of Zurich, Switzerland
Christopher Hilton
  • Biological Psychology and Neuroergonomics, Department of Psychology and Ergonomics, Technische Universität Berlin, Germany
Sara I. Fabrikant
  • Geographic Information Visualization and Analysis (GIVA), Department of Geography, University of Zurich, Switzerland

Supplementary Materials

References

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