Guiding Driver Responses During Manual Takeovers from Automated Vehicles
archive: archived pipeline: cataloged verified
Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)
Summary
This study investigates how different Human-Machine Interface (HMI) modalities affect driver performance and situation awareness (SA) during manual takeovers from Level 3 automated driving systems. As automation levels increase, drivers may engage in secondary tasks, reducing their readiness to assume control when the system reaches its operational limits. The research aimed to determine whether novel Head-Up Displays (HUDs)—specifically world-relative and screen-relative graphics—combined with auditory and haptic cues, could improve takeover safety compared to traditional Head-Down Displays (HDDs). The researchers conducted a within-subjects experiment using a virtual reality driving simulator with 21 participants. The study employed a 3x3x3 factorial design, testing combinations of three visual conditions (HDD icon, world-relative HUD, screen-relative HUD), three auditory conditions (tone only, tone with "Takeover Required," tone with directional instruction), and three haptic conditions (guiding nudge, restricting resistance, or no haptic feedback). Participants performed a secondary visual search task to simulate distraction while the automated vehicle drove at 55 mph. Takeover requests were triggered by imminent collisions with obstacles or obscured lane markings. Metrics included initial response time, time-to-collision (TTC), reaction accuracy, self-reported SA via the Situation Awareness Global Assessment Technique, and participant preferences. Results indicated that HUDs significantly improved certain aspects of takeover performance. Participants demonstrated lower response times and higher time-to-collision metrics when using HUDs compared to HDDs, suggesting that keeping eyes on the road facilitates faster and safer reactions. Specifically, world-relative and screen-relative HUDs helped drivers identify safe lanes more effectively. However, the study found no significant impact of the HMI modality on overall driver situation awareness scores; participants did not demonstrate a statistically significant improvement in their understanding of the surrounding environment regardless of the display type used. Additionally, participants expressed higher preference ratings for HUD presentations over HDDs, particularly favoring world-relative graphics that overlaid lane availability directly onto the roadway view. The findings suggest that while HUDs enhance the speed and safety of the physical takeover maneuver, they do not necessarily improve the cognitive aspect of situation awareness. The study concludes that novel HUD designs, particularly world-relative graphics, offer practical benefits for guiding driver responses during critical handovers. These results provide specific design criteria for future HMI development, emphasizing the utility of visual cues that maintain eye-on-road engagement to mitigate the risks associated with delayed or incorrect takeover responses in automated vehicles.
Key finding
Novel head-up displays improved driver takeover performance by reducing response times and increasing time-to-collision metrics, but did not significantly impact driver situation awareness.
Methodology
simulator
Sample size: 21
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Applied Guidance: design guidelines
- Empirical Findings: behavioral performance data
- Methodological Resource: measurement protocol