The mismatch between perceived situation awareness and hazard recognition in automated driving

This study tested whether drivers' hazard recognition and/or perceived situation awareness differed in traditional versus automated driving conditions. A total of 46 participants were assigned to either a non-automated 'active' driving condition of a simulated vehicle and were directly responsible for avoiding hazards or an automated 'passive' condition where they monitored for hazards and responded via a handheld button. Post-drive, participants completed a self-report measure of situation awareness. The results revealed a mismatch where participants in the automated condition reported greater situation awareness but demonstrated significantly slower hazard recognition, with this performance deficit consistent across both anticipation and surprise hazards. These findings suggest that automated driving may be associated with inaccurate mental models concerning the capabilities of automated vehicles. Therefore, human-centred strategies are required to ensure that drivers are fully cognisant of the capabilities of automated vehicles in recognising and responding to hazards.

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Publication Details

Journal
Applied Ergonomics
Published
2025-05-26
DOI
https://doi.org/10.1016/j.apergo.2025.104562
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

The mismatch between perceived situation awareness and hazard recognition in automated driving

Mark W. Wiggins, George Nasser, Ben W. Morrison, Angela Hoang
Applied Ergonomics
Human-Automation Interaction and Safety
article

The mismatch between perceived situation awareness and hazard recognition in automated driving

Mark W. Wiggins, George Nasser, Ben W. Morrison, Angela Hoang
article en

Abstract

This study tested whether drivers' hazard recognition and/or perceived situation awareness differed in traditional versus automated driving conditions. A total of 46 participants were assigned to either a non-automated 'active' driving condition of a simulated vehicle and were directly responsible for avoiding hazards or an automated 'passive' condition where they monitored for hazards and responded via a handheld button. Post-drive, participants completed a self-report measure of situation awareness. The results revealed a mismatch where participants in the automated condition reported greater situation awareness but demonstrated significantly slower hazard recognition, with this performance deficit consistent across both anticipation and surprise hazards. These findings suggest that automated driving may be associated with inaccurate mental models concerning the capabilities of automated vehicles. Therefore, human-centred strategies are required to ensure that drivers are fully cognisant of the capabilities of automated vehicles in recognising and responding to hazards.

Applied ErgonomicsVol. 128
Macquarie University (AU)
Australian Research Council
Openalex Percentile: Top 87%
Human-Automation Interaction and Safety
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