ITSC 2025 Paper Abstract

Paper WE-LA-T14.3

Lim, Jaehyuck (Korea Advanced Institute of Science and Technology), Park, Shin Hyoung (University of Seoul), Kim, Inhi (Korea Advanced Institute of Science and Technology)

The Impact of Head-Up Display Warnings on Aggressive Driving: Visual and Behavior Insights

Scheduled for presentation during the Regular Session "S14c-Human Factors and Human Machine Interaction in Automated Driving" (WE-LA-T14), Wednesday, November 19, 2025, 16:40−17:00, Currumbin

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Keywords Human-Machine Interaction Systems for Enhanced Driver Assistance and Safety, Driver Behavior Monitoring and Feedback Systems for Semi-autonomous Vehicles

Abstract

Aggressive driving behavior, influenced by various factors such as the driving environment and personal characteristics, is a major contributor to traffic accidents and fatalities. Understanding and managing this behavior remains a key challenge for road safety. This study investigates the visual characteristics of aggressive drivers and evaluates the effectiveness of a Head-Up Display (HUD) warning system in mitigating aggressive driving behavior. Aggressive drivers were identified using a two-stage clustering method combining subjective evaluations and driving performance indicators. Subsequently, visual and behavioral characteristics were analyzed using data collected from driving simulator experiments and eye tracking technology. The results showed that aggressive drivers exhibited larger pupil diameters and lower focus stability, indicating higher cognitive load and impulsive decision-making tendencies. The HUD system effectively improved driving behavior by enhancing situational awareness and reducing cognitive load across various scenarios. Specifically, improvements were observed in pupil diameter, focus stability, gap distance to the front vehicle, and gaze behavior toward traffic signals. These findings suggest that HUD systems can positively influence aggressive drivers by providing timely and relevant visual information. Future studies should validate these results through field experiments and a larger, more diverse participant sample to ensure broader applicability.