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  1. 02 情報科学
  2. 10 ビデオ

Challenge in the Interaction between Pedestrians and Autonomous Vehicles

http://hdl.handle.net/10061/0002000430
http://hdl.handle.net/10061/0002000430
6f8545e7-35c5-4945-a137-2f9b07944300
アイテムタイプ ビデオ / Others(1)
公開日 2024-05-27
タイトル
タイトル Challenge in the Interaction between Pedestrians and Autonomous Vehicles
言語
言語 eng
資源タイプ
資源タイプ video
アクセス権
アクセス権 open access
著者 劉, 海龍

× 劉, 海龍

ja 劉, 海龍

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内容記述タイプ Abstract
内容記述 Compared to a manual driving vehicle (MV), an automated driving vehicle lacks a way to communicate with the pedestrian through the driver when it interacts with the pedestrian because the driver usually does not participate in driving tasks. Thus, an external human machine interface (eHMI) can be viewed as a novel explicit communication method for providing driving intentions of an automated driving vehicle (AV) to pedestrians when they need to negotiate in an interaction, e.g., an encountering scene. However, the eHMI may not guarantee that the pedestrians will fully recognize the intention of the AV. In this paper, we propose that the instruction of the eHMI's rationale can help pedestrians correctly understand the driving intentions and predict the behavior of the AV, and thus their subjective feelings (i.e., dangerous feeling, trust in the AV, and feeling of relief) and decision-making are also improved. The results of an interaction experiment in a road-crossing scene indicate that the participants were more difficult to be aware of the situation when they encountered an AV w/o eHMI compared to when they encountered an MV; further, the participants' subjective feelings and hesitation in decision-making also deteriorated significantly. When the eHMI was used in the AV, the situational awareness, subjective feelings and decision-making of the participants regarding the AV w/ eHMI were improved. After the instruction, it was easier for the participants to understand the driving intention and predict driving behavior of the AV w/ eHMI. Further, the subjective feelings and the hesitation related to decision-making were improved and reached the same standards as that for the MV.
内容記述
内容記述タイプ Other
内容記述 講演日:2023年6月15日 3限
内容記述
内容記述タイプ Other
内容記述 講演場所: 情報科学棟 エーアイ大講義室(L1)
映像時間
内容記述タイプ Other
内容記述 映像時間: 39分30秒
時間
値 00:39:30
書誌情報
発行日 2023-06-15
フォーマット
内容記述タイプ Other
内容記述 video/mp4
出版者
出版者 Nara Institute of Science and Technology
著者版フラグ
出版タイプ VoR
シリーズ名
関連タイプ isPartOf
関連名称 情報科学領域・コロキアム:2023年度
本文URL
表示名 NAIST Digital Library
URL https://library.naist.jp/opac/book/106375
電子化ID
値 M022328
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