Visual gaze and engagement with non-driving related tasks: a driving simulator study with automated driving systems

Findings reveal that regardless of the NDRT, drivers continued engaging in NDRTs right up till the TOR. Designing intuitive, context-specific interfaces that guide drivers' attention to driving-related areas and provide information can improve drivers' awareness of the TOR and, consequently, their takeover performance. The findings provide significant insights on the potential methods to keep drivers aware of their surroundings while using automation, and while transitioning to manual control. These insights provide information on driving behaviors with Level 3 automation, specifically how fully licensed drivers engage with distraction while driving with Level 3.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-06-27
DOI
https://doi.org/10.1080/15389588.2025.2508383
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Visual gaze and engagement with non-driving related tasks: a driving simulator study with automated driving systems

Apoorva Pramod Hungund, Anuj Kumar Pradhan, Radhika Jayant Deshmukh, Niraj Hosadurga
Traffic Injury Prevention
Human-Automation Interaction and Safety
article

Visual gaze and engagement with non-driving related tasks: a driving simulator study with automated driving systems

Apoorva Pramod Hungund, Anuj Kumar Pradhan, Radhika Jayant Deshmukh, Niraj Hosadurga
article en

Abstract

Findings reveal that regardless of the NDRT, drivers continued engaging in NDRTs right up till the TOR. Designing intuitive, context-specific interfaces that guide drivers' attention to driving-related areas and provide information can improve drivers' awareness of the TOR and, consequently, their takeover performance. The findings provide significant insights on the potential methods to keep drivers aware of their surroundings while using automation, and while transitioning to manual control. These insights provide information on driving behaviors with Level 3 automation, specifically how fully licensed drivers engage with distraction while driving with Level 3.

Traffic Injury PreventionVol. 26(sup1)
AAA Foundation for Traffic Safety (US), University of Massachusetts Boston (US)
Openalex Percentile: Top 83%
Human-Automation Interaction and Safety
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