Forward Collision Warning Effects Across Driver Attention State Clusters Under Comparable-Risk Naturalistic Driving Conditions
Using Naturalistic Driving Study data, this study examined how the association between Forward Collision Warning (FCW) activation and perception-reaction time (PRT) varied across driver attention states during car-following. Head-orientation, gaze-direction, and upper-body posture features were used in a Hidden Markov Model to estimate unstable-attention probability over time, and clustering identified three attention-state profiles: stable, fluctuating, and persistently unstable. The stable profile reflected consistently low unstable-state probability, the fluctuating profile reflected frequent shifts in unstable-state probability, and the persistently unstable profile reflected sustained high unstable-state probability. A Gamma generalized estimating equation model was applied to comparable-risk events. The association between FCW activation and PRT showed evidence of variation across attention states, with the largest estimated warning-related reduction observed in the persistently unstable attention state. These findings suggest that considering pre-event attention state may enable a more informative assessment of the support FCW can provide in situations with a greater risk of delayed driver response.
Authors
- Mohamed A. Abdel-Aty (ORCID: https://orcid.org/0000-0002-4838-1573)
- Yang-Jun Joo (ORCID: https://orcid.org/0000-0003-2319-0874)
- Uibeom Chun (ORCID: https://orcid.org/0000-0003-4221-4384)
- Rodrigo Vena Garcia
Institutions
- University of Central Florida (US)
- College of Central Florida (US)
Publication Details
- Journal
- International Journal of Human-Computer Interaction
- Published
- 2026-10-09
- DOI
- https://doi.org/10.1080/10447318.2026.2740895
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00