Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness
Year: 2025
Type: article
Abstract: Background: Current research on AR-HUD visual icons focuses primarily on interface, color, and motion trajectory design. However, when displayed in complex environments, AR-HUD might cause inattentional blindness, particularly during extreme weather conditions where occurrence rates increase significantly. Methods: This study employed a two-factor within-subjects design to examine how dynamic saliency and contour saliency in AR-HUD navigation graphics affect inattentional blindness and user experience. Eye-tracking metrics with total fixation time and first fixation time, driver reaction time, and user experience scores were analyzed. Results: Objective measures revealed significant interaction effects between saliency types, though user experience feedback showed no significance. Both contour and dynamic saliency effectively reduced inattentional blindness and improved information-seeking efficiency. Conclusions: The combination of dynamic and contour saliency produced the lowest inattentional blindness rates, fastest reaction times, and highest user satisfaction. We recommend: 1) adding distinct contours to prevent environmental visual fusion, 2) implementing temporary icon enlargement during critical moments to enhance attentional capture. These findings provide actionable design principles for improving AR-HUD safety in adverse weather conditions.
Source: IEEE Access
Authors: Qi Zhu, Jiale Li, Yixiang Liu
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,075
OpenAlex ID: W4412404016