Eye Blink-Related Brain Potentials During Landmark-Based Navigation in Virtual Reality (Short Paper)

Authors Bingjie Cheng , Enru Lin , Klaus Gramann , Anna Wunderlich



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Author Details

Bingjie Cheng
  • Department of Geography and Digital Society Initiative, University of Zurich, Switzerland
Enru Lin
  • Department of Geography and Digital Society Initiative, University of Zurich, Switzerland
Klaus Gramann
  • Department of Biological Psychology and Neuroergonomics, Technische Universität Berlin, Germany
Anna Wunderlich
  • Department of Biological Psychology and Neuroergonomics, Technische Universität Berlin, Germany

Acknowledgements

We thank Armand Kapaj for his help with data collection, Dr. Ian Ruginski for his help with statistical analysis, and Prof. Sara Irina Fabrikant for her support on this research.

Cite AsGet BibTex

Bingjie Cheng, Enru Lin, Klaus Gramann, and Anna Wunderlich. Eye Blink-Related Brain Potentials During Landmark-Based Navigation in Virtual Reality (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 28:1-28:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.COSIT.2022.28

Abstract

Landmarks support navigation and spatial learning of environments by serving as cognitive anchors. However, little research has been done to investigate how the design of landmarks on mobile maps affects cognitive processing. To address this gap, the present study utilized a within-subjects design to experimentally examine how three different landmark densities (3 vs. 5 vs. 7 landmarks) on mobile maps influence users' spatial learning and cognitive load during navigation. Cognitive load was measured using electroencephalography (EEG). We applied an event-related analysis approach by utilizing eye blinks as naturalistic event markers to segment the EEG data. Results demonstrate that showing five landmarks along a given route to follow on a mobile map, compared to three and seven landmarks, improved spatial learning performance without taxing more cognitive resources. Our study shows that users' cognitive load and spatial learning outcomes should be considered when designing landmark-based navigation assistance systems.

Subject Classification

ACM Subject Classification
  • General and reference → Empirical studies
  • Human-centered computing → Laboratory experiments
Keywords
  • spatial navigation
  • landmark
  • blink-related potentials
  • spatial learning
  • cognitive load
  • mobile map

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References

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