| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2026-02-25 |
| タイトル |
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タイトル |
Data-Driven Causal Discovery for Pedestrians-Autonomous Personal Mobility Vehicle Interactions With eHMIs: From Psychological States to Walking Behaviors |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
Autonomous personal mobility vehicle (APMV) |
| キーワード |
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主題Scheme |
Other |
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主題 |
pedestrian-vehicle interactions |
| キーワード |
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主題Scheme |
Other |
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主題 |
external human-machine interface (eHMI) |
| キーワード |
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主題Scheme |
Other |
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主題 |
causal discovery |
| キーワード |
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主題Scheme |
Other |
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主題 |
Pedestrians |
| キーワード |
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主題Scheme |
Other |
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主題 |
Legged locomotion |
| キーワード |
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主題Scheme |
Other |
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主題 |
Psychology |
| キーワード |
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主題Scheme |
Other |
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主題 |
Human vehicle systems |
| キーワード |
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主題Scheme |
Other |
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主題 |
Decision making |
| キーワード |
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主題Scheme |
Other |
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主題 |
Transportation |
| キーワード |
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主題Scheme |
Other |
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主題 |
Mathematical models |
| キーワード |
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主題Scheme |
Other |
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主題 |
Urban areas |
| キーワード |
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主題Scheme |
Other |
|
主題 |
Space vehicles |
| キーワード |
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主題Scheme |
Other |
|
主題 |
Roads |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Liu, Hailong
Li, Yang
Hiraoka, Toshihiro
和田, 隆広
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Autonomous personal mobility vehicle (APMV) is an innovative small autonomous transportation device designed for individual use in mixed-traffic environments, such as shared spaces and indoor environments. To enhance the interaction experience between pedestrians and APMVs and to prevent potential risks, it is crucial to investigate pedestrians’ walking behaviors when interacting with APMVs and to understand the psychological processes underlying these behaviors. This study aims to investigate the causal relations between subjective evaluations of pedestrians and their walking behaviors during interactions with an APMV equipped with an external human-machine interface (eHMI). An experiment of pedestrian-APMV interaction was conducted with 42 pedestrian participants, in which various eHMIs on the APMV were designed to induce participants to experience different levels of subjective evaluations and generate the corresponding walking behaviors. Based on the hypothesized model of the pedestrian’s cognition-decision-behavior process, the results of causal discovery align with the previously proposed model. Furthermore, this study further analyzes the direct and total causal effects of each factor and investigates the causal processes affecting several important factors in the field of human-vehicle interaction, such as situation awareness, trust in vehicle, risk perception, hesitation in decision making, and walking behaviors. |
| 書誌情報 |
en : IEEE Transactions on Intelligent Transportation Systems
巻 27,
号 2,
p. 1921-1936,
ページ数 16,
発行日 2025-11-26
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| 出版者 |
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出版者 |
IEEE |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
1558-0016 |
| 出版者版DOI |
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関連タイプ |
isIdenticalTo |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1109/TITS.2025.3632788 |
| 出版者版URI |
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関連タイプ |
isIdenticalTo |
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識別子タイプ |
URI |
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関連識別子 |
https://ieeexplore.ieee.org/document/11269893 |
| 権利 |
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権利情報Resource |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
権利情報 |
© 2025 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ . |
| 著者版フラグ |
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出版タイプ |
VoR |
| 助成情報 |
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助成機関名 |
Japan Society for the Promotion of Science (JSPS) |
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研究課題番号 |
20K19846 |
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研究課題番号URI |
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K19846/ |
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研究課題名 |
運転自動化システムに対する過信のメカニズム解明と過信抑制HMIの構築 |
| 助成情報 |
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助成機関名 |
Japan Society for the Promotion of Science (JSPS) |
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研究課題番号 |
22H00246 |
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研究課題番号URI |
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22H00246/ |
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研究課題名 |
人と自動運転車間における適切な信頼感醸成手法の構築：工学とデザイン学の融合 |
fulltext (4.8 MB)
