Takeover Requests Signaled by Arrows in an Automated Driving System: The Influence of Information Direction and Lead Time on Performance

This study explored the impact of arrow cues in a head-up display (HUD) on takeover performance in a self-driving system. Experiment 1 investigated the effect of different cue types (arrow versus circle) on objective takeover performance and subjective evaluation in different takeover requests (TORs; toward-action versus toward-hazard) and lead time (4 s versus 7 s). Experiment 2 further investigated the different effect of single- and dual-message arrow cues. The results of experiment 1 showed that, compared with circle cues, arrow cues led to better performance in takeover tasks, as evidenced by both the objective measures and subjective evaluations. The results of experiment 2 revealed that single-message arrow cues outperformed dual-message cues. The study indicated that single-message arrow cues had better outcomes in the TOR tasks of a self-driving system, particularly when using toward-action TORs. Our findings have important implications for future TOR cue design in the HUD of automated driving systems.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-04-24
DOI
https://doi.org/10.1177/03611981251327204
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44

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article

Takeover Requests Signaled by Arrows in an Automated Driving System: The Influence of Information Direction and Lead Time on Performance

Xinkui Hu, Zhiguo Hu, Hongyan Liu, Zihao Qiu et al.
1 citations
Transportation Research Record Journal of the Transportation Research Board
Human-Automation Interaction and Safety
2.44
article

Takeover Requests Signaled by Arrows in an Automated Driving System: The Influence of Information Direction and Lead Time on Performance

Xinkui Hu, Zhiguo Hu, Hongyan Liu, Zihao Qiu, Meina Wang, Ho Yin Lai, Hangyan Wu
article en
1 citations

Abstract

This study explored the impact of arrow cues in a head-up display (HUD) on takeover performance in a self-driving system. Experiment 1 investigated the effect of different cue types (arrow versus circle) on objective takeover performance and subjective evaluation in different takeover requests (TORs; toward-action versus toward-hazard) and lead time (4 s versus 7 s). Experiment 2 further investigated the different effect of single- and dual-message arrow cues. The results of experiment 1 showed that, compared with circle cues, arrow cues led to better performance in takeover tasks, as evidenced by both the objective measures and subjective evaluations. The results of experiment 2 revealed that single-message arrow cues outperformed dual-message cues. The study indicated that single-message arrow cues had better outcomes in the TOR tasks of a self-driving system, particularly when using toward-action TORs. Our findings have important implications for future TOR cue design in the HUD of automated driving systems.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(7)
Zhejiang Sci-Tech University (CN), Hangzhou Normal University (CN)
Zhejiang University Student Science and Technology Innovation Activity Plan
Peace, Justice and strong institutions
Openalex Percentile: Top 14%
Human-Automation Interaction and Safety
2.44
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