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Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers

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dc.contributor.authorKim, Y.W.-
dc.contributor.authorHan, J.H.-
dc.contributor.authorJi, Y.G.-
dc.contributor.authorLee, S.C.-
dc.date.accessioned2022-12-26T14:15:40Z-
dc.date.available2022-12-26T14:15:40Z-
dc.date.issued2020-09-21-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/8254-
dc.description.abstractPrevious literature provided the results that eHMIs can be an effective method in interacting with pedestrians. However, there remains a question whether eHMIs are also effective for other road users or not. Therefore, the present study aimed to explore subjective evaluations on eHMIs with two different perspectives, pedestrians and drivers around AVs. Subjective preferences to different types of eHMIs were investigated through an online survey. Nine types of eHMIs were designed based on the combinations of display location and sign format. The results showed that people have different attitudes towards eHMIs depending on their perspectives. The participants as driver evaluated the bottom condition negatively compared to the pedestrian, and the participants as pedestrians felt that icons are not a good option compared to the drivers. The findings of the present study contribute to design of eHMI considering various road users. ? 2020 Owner/Author.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titleExploring the effectiveness of external human-machine interfaces on pedestrians and drivers-
dc.typeArticle-
dc.identifier.doi10.1145/3409251.3411725-
dc.identifier.scopusid2-s2.0-85092230534-
dc.identifier.bibliographicCitationAdjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020, pp 65 - 68-
dc.citation.titleAdjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020-
dc.citation.startPage65-
dc.citation.endPage68-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorDisplay Location-
dc.subject.keywordAuthorExternal Human-Machine Interfaces-
dc.subject.keywordAuthorRoad User-
dc.subject.keywordAuthorSign Format-
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