LIPIcs.COSIT.2022.28.pdf
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Eye Blink-Related Brain Potentials During Landmark-Based Navigation in Virtual Reality (Short Paper)
Authors
Bingjie Cheng 
,
Enru Lin ,
Klaus Gramann ,
Anna Wunderlich
-
Part of:
Volume:
15th International Conference on Spatial Information Theory (COSIT 2022)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Conference on Spatial Information Theory (COSIT) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-08-22
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Document Identifiers
Author Details
- Department of Geography and Digital Society Initiative, University of Zurich, Switzerland
- 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
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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