Reality Head-Up Display Navigation Design in Extreme Weather Conditions: Enhancing Driving Experience in Rain and Fog

This study investigates the impact of extreme weather conditions (specifically heavy rain and fog) on drivers’ situational awareness by analyzing variations in illumination levels. The primary objective is to identify optimal color wavelengths for low-light environments, thereby providing a theoretical foundation for the design of augmented reality head-up display in adverse weather conditions. A within-subjects experimental design was employed with 26 participants in a simulated driving environment. Participants were exposed to different illumination levels and AR-HUD colors. Eye-tracking metrics, including fixation duration, visit duration, and fixation count, were recorded alongside situational awareness ratings to assess cognitive load and information processing efficiency. The results revealed that the yellow AR-HUD significantly enhanced situational awareness and reduced cognitive load in foggy conditions. While subjective assessments indicated no substantial effect of lighting conditions, objective measurements demonstrated the superior effectiveness of the yellow AR-HUD under foggy weather. These findings suggest that yellow AR-HUD navigation icons are more suitable for extreme weather environments, offering potential improvements in driving performance and overall road safety.

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Publication Details

Journal
Electronics
Published
2025-04-25
DOI
https://doi.org/10.3390/electronics14091745
Citations
8
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
19.51
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article

Reality Head-Up Display Navigation Design in Extreme Weather Conditions: Enhancing Driving Experience in Rain and Fog

Z. Liu, Qi Zhu
8 citations
Electronics
Human-Automation Interaction and Safety
19.51
article

Reality Head-Up Display Navigation Design in Extreme Weather Conditions: Enhancing Driving Experience in Rain and Fog

Z. Liu, Qi Zhu
article en
8 citations

Abstract

This study investigates the impact of extreme weather conditions (specifically heavy rain and fog) on drivers’ situational awareness by analyzing variations in illumination levels. The primary objective is to identify optimal color wavelengths for low-light environments, thereby providing a theoretical foundation for the design of augmented reality head-up display in adverse weather conditions. A within-subjects experimental design was employed with 26 participants in a simulated driving environment. Participants were exposed to different illumination levels and AR-HUD colors. Eye-tracking metrics, including fixation duration, visit duration, and fixation count, were recorded alongside situational awareness ratings to assess cognitive load and information processing efficiency. The results revealed that the yellow AR-HUD significantly enhanced situational awareness and reduced cognitive load in foggy conditions. While subjective assessments indicated no substantial effect of lighting conditions, objective measurements demonstrated the superior effectiveness of the yellow AR-HUD under foggy weather. These findings suggest that yellow AR-HUD navigation icons are more suitable for extreme weather environments, offering potential improvements in driving performance and overall road safety.

ElectronicsVol. 14(9)
Hanyang University (KR)
Openalex Percentile: Top 1%
Human-Automation Interaction and Safety
19.51
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