Enhancing spatial learning during driving: the role of 3D navigation interface visualization in AR-HUD

The style of geovisualization influences drivers’ cognition, decision-making, and spatial learning abilities. With the advancement of in-vehicle navigation technologies, Augmented Reality Head-Up Displays (AR-HUDs) have been widely applied in driving contexts. However, whether AR-HUDs impair drivers’ spatial learning and lead to over-reliance on navigation tools remains unclear. This study evaluates the impact of 2D and 3D Arrow Navigation Interfaces (ANIs) within AR-HUD systems on drivers’ spatial learning, using continuous and objective physiological measures, including Electroencephalography (EEG), Electrodermal Activity (EDA), Heart Rate (HR), and Heart Rate Variability (HRV). A pilot experiment conducted under real-road conditions indicates that the 3D-ANI enhances drivers’ spatial memory and reduces cognitive load. Notably, the depth perception and landmark cues provided by the 3D-ANI facilitate spatial memory encoding under turn-by-turn navigation, mitigating the typical limitations of such systems in supporting spatial knowledge acquisition. These findings offer critical insights into spatial cognitive mechanisms and provide valuable guidance for optimizing navigation interface design.

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Publication Details

Journal
Geo-spatial Information Science
Published
2025-10-09
DOI
https://doi.org/10.1080/10095020.2025.2558822
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing spatial learning during driving: the role of 3D navigation interface visualization in AR-HUD

Shoujiang Zhao, Mengniu Li, Xun Xu, Yusheng Li et al.
Geo-spatial Information Science
Spatial Cognition and Navigation
article

Enhancing spatial learning during driving: the role of 3D navigation interface visualization in AR-HUD

Shoujiang Zhao, Mengniu Li, Xun Xu, Yusheng Li, Biao Yan, Jing Yang, Linyan Ren
article en

Abstract

The style of geovisualization influences drivers’ cognition, decision-making, and spatial learning abilities. With the advancement of in-vehicle navigation technologies, Augmented Reality Head-Up Displays (AR-HUDs) have been widely applied in driving contexts. However, whether AR-HUDs impair drivers’ spatial learning and lead to over-reliance on navigation tools remains unclear. This study evaluates the impact of 2D and 3D Arrow Navigation Interfaces (ANIs) within AR-HUD systems on drivers’ spatial learning, using continuous and objective physiological measures, including Electroencephalography (EEG), Electrodermal Activity (EDA), Heart Rate (HR), and Heart Rate Variability (HRV). A pilot experiment conducted under real-road conditions indicates that the 3D-ANI enhances drivers’ spatial memory and reduces cognitive load. Notably, the depth perception and landmark cues provided by the 3D-ANI facilitate spatial memory encoding under turn-by-turn navigation, mitigating the typical limitations of such systems in supporting spatial knowledge acquisition. These findings offer critical insights into spatial cognitive mechanisms and provide valuable guidance for optimizing navigation interface design.

Geo-spatial Information Science
University of Malaya (MY), Nanjing University of Science and Technology (CN), East China University of Technology (CN)
Openalex Percentile: Top 69%
Spatial Cognition and Navigation
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