Effectiveness of automotive warning system presented with multiple sensory modalities

Atsuo Murata, Michihiro Kanbayashi, Takehito Hayami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

It goes without saying that it is very important to drive safely by drivers themselves. However, it is impossible to find drivers who do not make mistakes during driving. Therefore, vehicles should be equipped with a system that automatically detect hazardous state and warn if of drivers so that such a preventive safety can contribute to the reduction of traffic accidents due to the oversight of important information necessary for safety driving. This study paid attention to the preventive safety technology, and discussed how the warning should be presented to drivers. It was explored whether simultaneously presenting warning to multiple sensory organs such as visual and auditory systems can promote (quicken) the perception of warning even under the situation, where interference between information of the same sensory modality occurs. The auditory-tactile warning was found to lead to quicker and more accurate reaction to a hazardous scene during a simulated driving.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages920-925
Number of pages6
ISBN (Print)9781467322591
Publication statusPublished - Jan 1 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: Aug 20 2012Aug 23 2012

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
Country/TerritoryJapan
CityAkita
Period8/20/128/23/12

Keywords

  • auditory-tactile warning
  • automotive warning
  • hit rate
  • multiple sensory modality
  • reaction time

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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