Analysis of Driver Judgment and Reaction by Different Levels of Visual Information on eHMI
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwon, Y. | - |
dc.contributor.author | Lim, D. | - |
dc.contributor.author | Kim, B. | - |
dc.date.accessioned | 2021-10-12T08:41:55Z | - |
dc.date.available | 2021-10-12T08:41:55Z | - |
dc.date.created | 2021-10-08 | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1865-0929 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16228 | - |
dc.description.abstract | As autonomous vehicles make their debut on public roads, communicating with other drivers via an external human-machine interface (eHMI) has become crucial for road safety. Our work explores required visual information levels by observing participants’ judgment time in the driver’s seat and by measuring the ability metrics of eHMI implemented on autonomous vehicles (AVs) passing by. We evaluated about 10 eHMI design alternatives, and measured the time from perceiving the rear-facing eHMI of an AV passing by to the moment the participants decide how to drive using eye tracking glasses. Also, we surveyed subjective evaluations of how participants feel about seeing the eHMIs. The results show that using text reduces the time to drivers’ judgment, and fast flashing effects and the color red effectively draw attention and give warning. The results suggest that it is essential for future AVs to use text and practical visual elements when other drivers on the road require quick reactions. © 2021, Springer Nature Switzerland AG. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Science and Business Media Deutschland GmbH | - |
dc.subject | Eye tracking | - |
dc.subject | Human computer interaction | - |
dc.subject | Motor transportation | - |
dc.subject | Roads and streets | - |
dc.subject | Design alternatives | - |
dc.subject | Flashing effect | - |
dc.subject | Human Machine Interface | - |
dc.subject | Public roads | - |
dc.subject | Road safety | - |
dc.subject | Subjective evaluations | - |
dc.subject | Visual elements | - |
dc.subject | Visual information | - |
dc.subject | Autonomous vehicles | - |
dc.title | Analysis of Driver Judgment and Reaction by Different Levels of Visual Information on eHMI | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, D. | - |
dc.identifier.doi | 10.1007/978-3-030-78645-8_31 | - |
dc.identifier.scopusid | 2-s2.0-85112083205 | - |
dc.identifier.bibliographicCitation | Communications in Computer and Information Science, v.1421, pp.249 - 256 | - |
dc.relation.isPartOf | Communications in Computer and Information Science | - |
dc.citation.title | Communications in Computer and Information Science | - |
dc.citation.volume | 1421 | - |
dc.citation.startPage | 249 | - |
dc.citation.endPage | 256 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Eye tracking | - |
dc.subject.keywordPlus | Human computer interaction | - |
dc.subject.keywordPlus | Motor transportation | - |
dc.subject.keywordPlus | Roads and streets | - |
dc.subject.keywordPlus | Design alternatives | - |
dc.subject.keywordPlus | Flashing effect | - |
dc.subject.keywordPlus | Human Machine Interface | - |
dc.subject.keywordPlus | Public roads | - |
dc.subject.keywordPlus | Road safety | - |
dc.subject.keywordPlus | Subjective evaluations | - |
dc.subject.keywordPlus | Visual elements | - |
dc.subject.keywordPlus | Visual information | - |
dc.subject.keywordPlus | Autonomous vehicles | - |
dc.subject.keywordAuthor | Autonomous vehicles | - |
dc.subject.keywordAuthor | Driver judgment | - |
dc.subject.keywordAuthor | eHMI | - |
dc.subject.keywordAuthor | External communication | - |
dc.subject.keywordAuthor | Eye tracking | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.