Differential blink patterns as biomarkers: Quantifying visual cognitive load in curved tunnels with varied radii

Differential blink patterns serve as reliable biomarkers for quantifying visual cognitive load in curved tunnels. Tunnel radius, turning direction, and tunnel zone significantly influence drivers' visual cognitive workload. These findings provide valuable insights for tunnel design and safety evaluations, emphasizing the need to consider geometric constraints and directional factors to reduce cognitive load and enhance driving safety.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-10-27
DOI
https://doi.org/10.1080/15389588.2025.2569720
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Differential blink patterns as biomarkers: Quantifying visual cognitive load in curved tunnels with varied radii

P. Gu, Huimin Zhou, Lei Han, Zhigang Du
Traffic Injury Prevention
Human-Automation Interaction and Safety
article

Differential blink patterns as biomarkers: Quantifying visual cognitive load in curved tunnels with varied radii

P. Gu, Huimin Zhou, Lei Han, Zhigang Du
article en

Abstract

Differential blink patterns serve as reliable biomarkers for quantifying visual cognitive load in curved tunnels. Tunnel radius, turning direction, and tunnel zone significantly influence drivers' visual cognitive workload. These findings provide valuable insights for tunnel design and safety evaluations, emphasizing the need to consider geometric constraints and directional factors to reduce cognitive load and enhance driving safety.

Traffic Injury Prevention
Wuhan University of Technology (CN), Shijiazhuang Tiedao University (CN)
Openalex Percentile: Top 65%
Human-Automation Interaction and Safety
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