Raising driver attentiveness with unconscious learning effect

Toshio Ito; Shuji Sudo

doi:10.1016/j.procS.2018.08.023

Raising driver attentiveness with unconscious learning effect

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	891-898
Number of pages	8
Journal	Procedia Computer Science
Volume	126
DOIs	https://doi.org/10.1016/j.procS.2018.08.023
Publication status	Published - 2018
Event	22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018 - Belgrade, Serbia Duration: 2018 Sept 3 → 2018 Sept 5

Keywords

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

ASJC Scopus subject areas

Computer Science(all)

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10.1016/j.procS.2018.08.023

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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 = "Safety confirmation, Safety confirmation, alarm, alarm, driving simulator, driving simulator, human machine interface",

author = "Toshio Ito and Shuji Sudo",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s). Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018 ; Conference date: 03-09-2018 Through 05-09-2018",

year = "2018",

doi = "10.1016/j.procS.2018.08.023",

language = "English",

volume = "126",

pages = "891--898",

journal = "Procedia Computer Science",

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T1 - Raising driver attentiveness with unconscious learning effect

AU - Ito, Toshio

AU - Sudo, Shuji

PY - 2018

Y1 - 2018

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 - Safety confirmation

KW - alarm

KW - driving simulator

KW - human machine interface

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

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M3 - Conference article

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SN - 1877-0509

VL - 126

SP - 891

EP - 898

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018

Y2 - 3 September 2018 through 5 September 2018

ER -

Raising driver attentiveness with unconscious learning effect

Abstract

Keywords

ASJC Scopus subject areas

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