Literature DB >> 27633218

Advanced driver assistance systems: Using multimodal redundant warnings to enhance road safety.

Francesco Biondi1, David L Strayer2, Riccardo Rossi3, Massimiliano Gastaldi3, Claudio Mulatti4.   

Abstract

This study investigated whether multimodal redundant warnings presented by advanced assistance systems reduce brake response times. Warnings presented by assistance systems are designed to assist drivers by informing them that evasive driving maneuvers are needed in order to avoid a potential accident. If these warnings are poorly designed, they may distract drivers, slow their responses, and reduce road safety. In two experiments, participants drove a simulated vehicle equipped with a forward collision avoidance system. Auditory, vibrotactile, and multimodal warnings were presented when the time to collision was shorter than five seconds. The effects of these warnings were investigated with participants performing a concurrent cell phone conversation (Exp. 1) or driving in high-density traffic (Exp. 2). Braking times and subjective workload were measured. Multimodal redundant warnings elicited faster braking reaction times. These warnings were found to be effective even when talking on a cell phone (Exp. 1) or driving in dense traffic (Exp. 2). Multimodal warnings produced higher ratings of urgency, but ratings of frustration did not increase compared to other warnings. Findings obtained in these two experiments are important given that faster braking responses may reduce the potential for a collision.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automation; Multimodal; Warnings

Mesh:

Year:  2016        PMID: 27633218     DOI: 10.1016/j.apergo.2016.06.016

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  2 in total

1.  Evaluation of Multimodal and Multi-Staged Alerting Strategies for Forward Collision Warning Systems.

Authors:  Jun Ma; Jiateng Li; Hongwei Huang
Journal:  Sensors (Basel)       Date:  2022-02-04       Impact factor: 3.576

2.  Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study.

Authors:  Rui Fu; Yali Zhang; Chang Wang; Wei Yuan; Yingshi Guo; Yong Ma
Journal:  Sensors (Basel)       Date:  2020-05-08       Impact factor: 3.576

  2 in total

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