Enhancing spatial learning during driving: the role of 3D navigation interface visualization in AR-HUD
Year: 2025
Type: article
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.
Source: Geo-spatial Information Science
Authors: Xun Xu, Jing Yang, Sixing Zhao, Yajun Li, Linyan Ren, Mengniu Li, Biao Yan
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,993
Awards: G1558880365, G2121271126, G5671767913
OpenAlex ID: W4414982263
