Priority Design in Multi-Target AR-HUD Warning: Evidence from Eye Movement and Behavior of the Novice Driver

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Publicado en:International Journal of Human - Computer Interaction vol. 41, no. 17 (Sep 2025), p. 10923
Autor principal: Chen, Wanting
Otros Autores: Song, Chenyang, Luo, Jing, Xu, Zilong, Li, Hongting, Ma, Shu, Wang, Qijun, Yang, Zhen
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Lawrence Erlbaum Associates, Inc.
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022 |a 1044-7318 
024 7 |a 10.1080/10447318.2024.2439572  |2 doi 
035 |a 3249017041 
045 2 |b d20250901  |b d20250930 
084 |a 66286  |2 nlm 
100 1 |a Chen, Wanting  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
245 1 |a Priority Design in Multi-Target AR-HUD Warning: Evidence from Eye Movement and Behavior of the Novice Driver 
260 |b Lawrence Erlbaum Associates, Inc.  |c Sep 2025 
513 |a Journal Article 
520 3 |a Technically, Augmented Reality Head-Up Display (AR-HUD) technology can augment multiple targets in the scene. However, existing literature predominantly focuses on scenarios involving single-target augmentation. The understanding of multi-target augmentation and studies exploring effective presentation methods under such conditions are notably scarce. This study evaluates the efficacy of integrating color-based warning priority design across multi-target scenarios. 45 Participants in different warning modes (Equivalent, Hierarchical, and Baseline) view AR-augmented driving videos and respond to risky targets. Their behavioral performance and eye-tracking data are compared. Findings indicate that the equivalent warning mode, lacking in priority design, adversely affects driver performance, prolongs reaction times, and elevates saccade counts, and gaze entropy. Conversely, the hierarchical warning mode significantly ameliorates driver reaction times and the time to first fixation, while also reducing saccade counts and gaze entropy, demonstrating the efficacy of the warning priority design. The findings provide insight into the design of AR-HUD with multi-target augmentation. 
653 |a Augmented reality 
653 |a Warning 
653 |a Entropy 
653 |a Head-up displays 
653 |a Eye movements 
653 |a Driver response time 
653 |a Equivalence 
653 |a Effectiveness 
653 |a Hierarchies 
653 |a Fixation 
653 |a Eye fixation 
653 |a Drivers 
653 |a Reaction time 
653 |a Efficacy 
653 |a Tracking 
653 |a Eye tracking 
653 |a Color 
653 |a Augmentation 
700 1 |a Song, Chenyang  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Luo, Jing  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Xu, Zilong  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Li, Hongting  |u Institute of Applied Psychology, College of Education, Zhejiang University of Technology, Hangzhou, China 
700 1 |a Ma, Shu  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Wang, Qijun  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Yang, Zhen  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
773 0 |t International Journal of Human - Computer Interaction  |g vol. 41, no. 17 (Sep 2025), p. 10923 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3249017041/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch