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

6 Citations (Scopus)

Abstract

Although it is very important to drive safely by drivers themselves, 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages88-97
Number of pages10
Volume8025 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2013
Event4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Healthcare and Safety of the Environment and Transport, DHM 2013, Held as Part of 15th Int. Conf. Human-Computer Interaction, HCI 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8025 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Healthcare and Safety of the Environment and Transport, DHM 2013, Held as Part of 15th Int. Conf. Human-Computer Interaction, HCI 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

Fingerprint

Alarm systems
Modality
Driver
Safety
Highway accidents
Accidents
Interference
Traffic
Necessary

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Murata, A., Kanbayashi, M., & Hayami, T. (2013). Effectiveness of automotive warning system presented with multiple sensory modalities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 8025 LNCS, pp. 88-97). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8025 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-39173-6_11

Effectiveness of automotive warning system presented with multiple sensory modalities. / Murata, Atsuo; Kanbayashi, Michihiro; Hayami, Takehito.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8025 LNCS PART 1. ed. 2013. p. 88-97 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8025 LNCS, No. PART 1).

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

Murata, A, Kanbayashi, M & Hayami, T 2013, Effectiveness of automotive warning system presented with multiple sensory modalities. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 8025 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8025 LNCS, pp. 88-97, 4th Int. Conf. on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: Healthcare and Safety of the Environment and Transport, DHM 2013, Held as Part of 15th Int. Conf. Human-Computer Interaction, HCI 2013, Las Vegas, NV, United States, 7/21/13. https://doi.org/10.1007/978-3-642-39173-6_11
Murata A, Kanbayashi M, Hayami T. Effectiveness of automotive warning system presented with multiple sensory modalities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 8025 LNCS. 2013. p. 88-97. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-39173-6_11
Murata, Atsuo ; Kanbayashi, Michihiro ; Hayami, Takehito. / Effectiveness of automotive warning system presented with multiple sensory modalities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8025 LNCS PART 1. ed. 2013. pp. 88-97 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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