Impact of Auditory Takeover Wake-up Direction on Drivers’ Attention Allocation under Dangerous Scenarios Based on Eye-tracking

This study examines how auditory takeover arousal direction influences drivers’ attention allocation in hazardous scenarios through a two-factor within-subjects eye-tracking experiment. Utilizing the Carla autonomous driving simulator, 20 experienced drivers (≥1 year of driving experience) were exposed to two hazard types—explicit and latent—paired with three auditory arousal modes: basic warning (B1), ipsilateral mapping (B2), and contralateral mapping (B3). Eye-movement analysis revealed that B2 significantly reduced first fixation latency in latent hazards, whereas B1 was more effective in explicit hazards. Hazard type exhibited a significant main effect, with interaction effects highlighting auditory directionality’s stronger attention-guiding role in latent scenarios. The findings offer theoretical insights for designing auditory arousal strategies in autonomous driving takeover systems.

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Publication Details

Published
2025-08-27
DOI
https://doi.org/10.1109/m2vip67511.2025.11165710
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Impact of Auditory Takeover Wake-up Direction on Drivers’ Attention Allocation under Dangerous Scenarios Based on Eye-tracking

Weichi Huang, Yafeng Niu, B. Zhang, Jingxin Zhu
Human-Automation Interaction and Safety
article

Impact of Auditory Takeover Wake-up Direction on Drivers’ Attention Allocation under Dangerous Scenarios Based on Eye-tracking

Weichi Huang, Yafeng Niu, B. Zhang, Jingxin Zhu
article en

Abstract

This study examines how auditory takeover arousal direction influences drivers’ attention allocation in hazardous scenarios through a two-factor within-subjects eye-tracking experiment. Utilizing the Carla autonomous driving simulator, 20 experienced drivers (≥1 year of driving experience) were exposed to two hazard types—explicit and latent—paired with three auditory arousal modes: basic warning (B1), ipsilateral mapping (B2), and contralateral mapping (B3). Eye-movement analysis revealed that B2 significantly reduced first fixation latency in latent hazards, whereas B1 was more effective in explicit hazards. Hazard type exhibited a significant main effect, with interaction effects highlighting auditory directionality’s stronger attention-guiding role in latent scenarios. The findings offer theoretical insights for designing auditory arousal strategies in autonomous driving takeover systems.

Hubei Academy of Environmental Sciences (CN), Southeast University (CN)
Openalex Percentile: Top 70%
Human-Automation Interaction and Safety
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