HMI Design for Chain-Braking Event Based on V2V Communication

Yan, Song; Huang, Chunxi; Xie, Weiyin; He, Dengbo · 2023 · AUManI Adjunct

DOI: 10.1145/3581961.3609899

archive: archived pipeline: cataloged verified

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Summary

This study addresses the safety risks associated with chain-braking events, where drivers often react only to the vehicle directly ahead due to occlusion of traffic further forward. The authors investigate whether Vehicle-to-Vehicle (V2V) communication can mitigate this limitation by providing drivers with information about upstream braking events. Specifically, the research evaluates two Heads-Up Display (HUD) Human-Machine Interfaces (HMIs): a video-based HMI (vHMI) displaying a live stream from the camera of the vehicle ahead, and a sign-based HMI (sHMI) showing a warning indicator. The study aims to determine if these interfaces improve driver reaction times and situational awareness compared to a baseline condition with no additional information. The researchers conducted a video simulation experiment with 12 licensed participants. The experimental scenario involved a three-vehicle chain on a straight rural road, where the indirect leading vehicle braked, causing the direct leading vehicle to brake subsequently. Participants watched the simulation and indicated their braking intention via a keyboard. The study utilized a within-subjects design, comparing the baseline, vHMI, and sHMI conditions. Objective metrics included reaction time (time until hand movement) and braking response time (BRT, time until key press). Subjective metrics assessed situational understanding, perceived risk, mental workload (NASA-TLX), and usability (SUS). Statistical analyses included repeated measures ANOVA for objective data and Friedman tests for subjective data. Results demonstrated that both vHMI and sHMI significantly reduced reaction time and BRT compared to the baseline condition, indicating improved safety performance. Both interfaces also enhanced drivers’ understanding of the traffic situation. However, there was no significant difference in objective safety metrics between the two HMI types. Subjectively, participants rated the sHMI significantly higher in terms of satisfaction and usability than the vHMI. In fact, the vHMI was perceived as less usable and satisfying than the baseline by some participants, with several reporting that the video display caused distraction or obstructed their line of sight. Neither HMI significantly increased mental workload or perceived risk compared to the baseline. The findings suggest that providing V2V-based information about upstream braking events improves driver response times and situational awareness in chain-braking scenarios. However, the study highlights that more complex visual information, such as streaming video, may not offer additional safety benefits over simple warning signs and can negatively impact user acceptance due to visual and cognitive demands. The authors conclude that simple warning signs are preferable for current HMI designs in this context, while future research should explore more complex scenarios and direct perception methods to better utilize V2V data without conflicting with driving tasks.

Key finding

Both video-based and sign-based V2V communication interfaces reduced reaction and braking response times compared to a baseline, but the sign-based interface achieved higher user satisfaction and usability scores.

Methodology

simulation_modeling

Sample size: 12

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StageOutcomeToolModelPromptAttemptsCompleted
discover success 1 2026-05-28
archive success canonical_url 1 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 semantic_scholar 4 2026-06-15
promote success 1 2026-06-04
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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