An In-Vehicle Auditory Signal Evaluation Platform based on a Driving Simulator

SAWA, Fuma; KAMIZONO, Yoshinori; KOBAYASHI, Wataru; TANIGUCHI, Ittetsu; NISHIKAWA, Hiroki; ONOYE, Takao · 2023 · Crossref

DOI: 10.1587/transfun.2023smp0006

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This paper addresses the increasing visual burden on drivers caused by Advanced Driver-Assistance Systems (ADAS) that rely heavily on visual notifications. To mitigate this, the authors propose shifting some monitoring tasks to auditory channels, which do not interfere with visual attention. The study introduces a novel in-vehicle auditory signal evaluation platform built upon an existing driving simulator. This platform allows for the flexible testing of various auditory signals and their effects on driving behavior, filling a gap in current research where few tools exist for systematically evaluating auditory user interfaces in driving contexts. The experimental design utilized a driving simulator equipped with a custom auditory output system. The researchers developed two types of beat-based auditory signals to inform drivers of their speed relative to a target of 30 km/h: one where only the beat frequency changed, and another where both beat and audio frequencies changed. These auditory methods were compared against a traditional visual speed meter. The experiment involved 14 male participants in their 20s. They performed speed maintenance tasks under two conditions: without additional visual tasks and with a multitasking visual task (counting pedestrians). Performance was measured by the accuracy of speed maintenance (time spent within 25–35 km/h) and subjective driver burden, rated on a scale of 1 to 7. The results indicated that while the visual speed meter achieved the highest accuracy (80% without task, 78% with task), the auditory methods were not significantly inferior, maintaining accuracy above 70% in all conditions. Crucially, the auditory signals significantly reduced driver burden. In the multitasking condition, the "beat/audio frequency change" method resulted in a significantly lower burden score (2.93) compared to the speed meter (4.71) and the "beat frequency change" method (4.36). Statistical analysis confirmed that the combined frequency change method alleviated visual burden more effectively than the other approaches, particularly when drivers were engaged in secondary visual tasks. The study concludes that appropriate in-vehicle auditory signals can effectively support speed adjustment while reducing the cognitive and visual load on drivers, especially in multitasking scenarios. The authors highlight that the platform successfully demonstrated the viability of mixing auditory and visual tasks to alleviate driver exhaustion. They suggest that future implementations should explore multimodal presentations combining auditory cues with visual meters to balance accuracy and comfort, and note the need for further research into signal comfort and 3D sound localization.

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.

Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• auditory
• auditory warnings
• music audio mood
• simulator validity fidelity
• feedback modes
• multimodal feedback

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).

• Methodological Resource: tool software, validation psychometrics
• Theoretical Contribution: computational model