Auditory, tactile, and multimodal warnings during automated driving
DOI: 10.1016/j.trf.2019.06.011
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Summary
This study investigates the efficacy of auditory, tactile, and multimodal (auditory-tactile) warnings in automated driving scenarios where drivers are engaged in highly attention-capturing, set-paced secondary tasks. The research addresses the safety concern that drivers in autonomous vehicles may engage in difficult-to-interrupt tasks, leading to delayed or missed responses to critical warnings, such as emergency braking events. The study specifically compares these warning modalities against three distinct distractor tasks—visual, auditory, and tactile—designed in a pilot study to have comparable workload levels, allowing for a direct assessment of how sensory channel overlap affects warning perception and reaction. The experiment utilized a 3x3 within-subjects factorial design with 45 participants in a driving simulator. Participants performed rapid serial presentation tasks: identifying numbers in a stream of letters (visual), detecting numbers in an audio stream (auditory), or detecting simultaneous vibrations in two handheld motors (tactile). During these tasks, participants received one of three warnings for an emergency brake event: a standard in-vehicle auditory beep, a seat-based tactile vibration, or a simultaneous auditory-tactile multimodal warning. Reaction times (RT) to press the brake pedal were recorded, along with subjective ratings for noticeability, motivation, startlingness, and annoyance. Results indicated that reaction times to tactile-only warnings were significantly slower than those to auditory and multimodal warnings, particularly when participants were engaged in visual or tactile distractor tasks. While auditory and multimodal warnings yielded similar reaction times, the multimodal warning resulted in significantly fewer missed warnings (4 vs. 11 for auditory) and fewer false responses (20 vs. 43 for tactile). Subjectively, the multimodal warning was rated as significantly more noticeable, motivating, and startling than both unimodal warnings. However, it was not rated as more annoying than the auditory warning, whereas both auditory and multimodal warnings were perceived as more annoying than the tactile warning. The findings suggest that multimodal warnings offer distinct advantages in automated driving contexts by reducing missed alerts and erroneous responses, even if they do not significantly improve reaction speed compared to auditory warnings alone. The study supports the Multiple Resources Theory, demonstrating that warnings sharing a sensory modality with the primary task (e.g., tactile warning during a tactile task) suffer from interference. The authors conclude that multimodal warnings are superior for ensuring driver awareness and reducing uncertainty during take-over requests, particularly when drivers are engaged in high-demand, hard-to-interrupt secondary tasks.
Key finding
Multimodal auditory-tactile warnings resulted in fewer missed warnings and fewer false responses compared to unimodal warnings, despite having similar reaction times to auditory-only warnings.
Methodology
simulator
Sample size: 45
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 unpaywall_openalex on 2026-05-08 (5 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 10 | 2026-05-28 |
| archive | success | canonical_url | — | — | 7 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-07 |
| chunk | success | chunk | — | — | 1 | 2026-06-07 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-07 |
| enrich | success | — | — | — | 2 | 2026-05-07 |
| promote | success | — | — | — | 2 | 2026-05-07 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Applied Guidance: design guidelines
- Empirical Findings: behavioral performance data
- Theoretical Contribution: theory or model