Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness
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 signifi...
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IEEE
2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/11079581/ |
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| author | Qi Zhu Jiale Li Yixiang Liu |
| author_facet | Qi Zhu Jiale Li Yixiang Liu |
| author_sort | Qi Zhu |
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| description | 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. |
| format | Article |
| id | doaj-art-e1cf2569aafa42e9bcea284ec5eb530e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e1cf2569aafa42e9bcea284ec5eb530e2025-08-20T03:40:43ZengIEEEIEEE Access2169-35362025-01-011313761313762210.1109/ACCESS.2025.358857611079581Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional BlindnessQi Zhu0Jiale Li1Yixiang Liu2https://orcid.org/0009-0006-4091-1636College of Design, Hanyang University, Ansan, Gyeonggi-do, South KoreaDepartment of Media and Communication Studies, Faculty of Arts and Social Sciences, University of Malaya, Kuala Lumpur, MalaysiaCollege of Arts and Media, Qingdao Binhai University, Qingdao, ChinaBackground: 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.https://ieeexplore.ieee.org/document/11079581/AR-HUDinattentional blindnessextreme weathereye-trackingdriver performancevisual saliency |
| spellingShingle | Qi Zhu Jiale Li Yixiang Liu Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness IEEE Access AR-HUD inattentional blindness extreme weather eye-tracking driver performance visual saliency |
| title | Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness |
| title_full | Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness |
| title_fullStr | Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness |
| title_full_unstemmed | Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness |
| title_short | Visual Saliency Design for AR-HUD Navigation in Extreme Weather: Reducing Inattentional Blindness |
| title_sort | visual saliency design for ar hud navigation in extreme weather reducing inattentional blindness |
| topic | AR-HUD inattentional blindness extreme weather eye-tracking driver performance visual saliency |
| url | https://ieeexplore.ieee.org/document/11079581/ |
| work_keys_str_mv | AT qizhu visualsaliencydesignforarhudnavigationinextremeweatherreducinginattentionalblindness AT jialeli visualsaliencydesignforarhudnavigationinextremeweatherreducinginattentionalblindness AT yixiangliu visualsaliencydesignforarhudnavigationinextremeweatherreducinginattentionalblindness |