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Article | Open Access

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

Xun Xua,b Jing Yangb Sixing Zhaoc Yajun Lia ( )Linyan Rena Mengniu Lia Biao Yana 
School of Design Art and Media, Nanjing University of Science and Technology, Nanjing, China
School of Art and Design, East China University of Technology, Nanchang, China
Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
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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.

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Geo-Spatial Information Science
Pages 2570-2586

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Cite this article:
Xu X, Yang J, Zhao S, et al. Enhancing spatial learning during driving: the role of 3D navigation interface visualization in AR-HUD. Geo-Spatial Information Science, 2026, 29(4): 2570-2586. https://doi.org/10.1080/10095020.2025.2558822

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Received: 08 January 2025
Accepted: 01 September 2025
Published: 09 October 2025
© 2025 Wuhan University.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.