Raising driver attentiveness with unconscious learning effect

Toshio Ito, Shuji Sudo

Research output: Contribution to journalConference article

Abstract

When changing lanes or making a right or left turn, drivers need to conduct a series of actions, such as checking the surroundings, turning on the turn signal, and steering. In this study, we alert the drivers who did not check the environment completely before making lane changes or turns, with a gentle alarm sound. Experiments with a driving simulator have shown that drivers can be unconsciously trained to carry out the needed series of actionS. Therefore, in this paper, we report the effectiveness of unconscious learning with the gentle alarm sound.

Original languageEnglish
Pages (from-to)891-898
Number of pages8
JournalProcedia Computer Science
Volume126
DOIs
Publication statusPublished - 2018 Jan 1
Event22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018 - Belgrade, Serbia
Duration: 2018 Sep 32018 Sep 5

Fingerprint

Acoustic waves
Simulators
Experiments

Keywords

  • alarm
  • alarm
  • driving simulator
  • driving simulator
  • human machine interface
  • Safety confirmation
  • Safety confirmation

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Raising driver attentiveness with unconscious learning effect. / Ito, Toshio; Sudo, Shuji.

In: Procedia Computer Science, Vol. 126, 01.01.2018, p. 891-898.

Research output: Contribution to journalConference article

@article{112a1beec13c4f189f528210c3b8eef3,
title = "Raising driver attentiveness with unconscious learning effect",
abstract = "When changing lanes or making a right or left turn, drivers need to conduct a series of actions, such as checking the surroundings, turning on the turn signal, and steering. In this study, we alert the drivers who did not check the environment completely before making lane changes or turns, with a gentle alarm sound. Experiments with a driving simulator have shown that drivers can be unconsciously trained to carry out the needed series of actionS. Therefore, in this paper, we report the effectiveness of unconscious learning with the gentle alarm sound.",
keywords = "alarm, alarm, driving simulator, driving simulator, human machine interface, Safety confirmation, Safety confirmation",
author = "Toshio Ito and Shuji Sudo",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.procS.2018.08.023",
language = "English",
volume = "126",
pages = "891--898",
journal = "Procedia Computer Science",
issn = "1877-0509",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Raising driver attentiveness with unconscious learning effect

AU - Ito, Toshio

AU - Sudo, Shuji

PY - 2018/1/1

Y1 - 2018/1/1

N2 - When changing lanes or making a right or left turn, drivers need to conduct a series of actions, such as checking the surroundings, turning on the turn signal, and steering. In this study, we alert the drivers who did not check the environment completely before making lane changes or turns, with a gentle alarm sound. Experiments with a driving simulator have shown that drivers can be unconsciously trained to carry out the needed series of actionS. Therefore, in this paper, we report the effectiveness of unconscious learning with the gentle alarm sound.

AB - When changing lanes or making a right or left turn, drivers need to conduct a series of actions, such as checking the surroundings, turning on the turn signal, and steering. In this study, we alert the drivers who did not check the environment completely before making lane changes or turns, with a gentle alarm sound. Experiments with a driving simulator have shown that drivers can be unconsciously trained to carry out the needed series of actionS. Therefore, in this paper, we report the effectiveness of unconscious learning with the gentle alarm sound.

KW - alarm

KW - alarm

KW - driving simulator

KW - driving simulator

KW - human machine interface

KW - Safety confirmation

KW - Safety confirmation

UR - http://www.scopus.com/inward/record.url?scp=85056631004&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056631004&partnerID=8YFLogxK

U2 - 10.1016/j.procS.2018.08.023

DO - 10.1016/j.procS.2018.08.023

M3 - Conference article

VL - 126

SP - 891

EP - 898

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

ER -