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

Guardado en:
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
Publicado:
Lawrence Erlbaum Associates, Inc.
Materias:
Augmented reality
Warning
Entropy
Head-up displays
Eye movements
Driver response time
Equivalence
Effectiveness
Hierarchies
Fixation
Eye fixation
Drivers
Reaction time
Efficacy
Tracking
Eye tracking
Color
Augmentation
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:1044-7318
DOI:10.1080/10447318.2024.2439572
Fuente:ABI/INFORM Global