| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2025-12-01 |
| タイトル |
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|
タイトル |
Dynamic Object Concealment Processing Methods for Autonomous Vehicle Stress Reduction and Situational Awareness |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Autonomous driving stress |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
Concealment processing |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
Image processing patterns |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Information presentation |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Situation awareness |
| 資源タイプ |
|
|
資源タイプ |
conference paper |
| アクセス権 |
|
|
アクセス権 |
open access |
| 著者 |
澤邊, 太志
Nagata, Koki
神原, 誠之
加藤, 博一
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| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Passengers in autonomous vehicles need to perceive information about the position and size of external objects. This study investigates how hiding external object information can help reduce passenger stress. We propose four image processing patterns, including semi-transparent, bounding box, shadow, and fully concealed, to reduce the amount of visual information while preserving object position and size information to reduce stress and improve situational understanding. We categorized external stressors according to passengers’ stress levels and the need for an immediate understanding of the stressors using a VR-HMD simulator. This was done through subjective evaluations based on stress reduction and situation awareness questionnaires. The results from 20 subjects showed that the compatibility index was lower in the group with a higher need for immediate situation awareness compared to the group that prioritized confidentiality. This supports the idea that stressors requiring immediate awareness require both information reduction and situation awareness. |
| 書誌情報 |
en : Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
p. 27-32,
ページ数 6,
発行日 2024-09-22
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| 会議情報 |
|
|
|
会議名 |
AutomotiveUI '24: 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications |
|
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開始年 |
2024 |
|
|
開始月 |
09 |
|
|
開始日 |
22 |
|
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終了年 |
2024 |
|
|
終了月 |
09 |
|
|
終了日 |
25 |
|
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開催期間 |
2024-09-22 - 2024-09-25 |
|
|
開催地 |
Stanford CA USA |
|
開催国 |
USA |
| 出版者 |
|
|
出版者 |
Association for Computing Machinery |
| 出版者版DOI |
|
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関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1145/3641308.3685018 |
| 出版者版URI |
|
|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
URI |
|
|
関連識別子 |
https://dl.acm.org/doi/10.1145/3641308.3685018 |
| 権利 |
|
|
権利情報 |
© 2024 Copyright held by the owner/author(s). |
| 著者版フラグ |
|
|
出版タイプ |
AM |
| 助成情報 |
|
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|
助成機関名 |
Japan Society for the Promotion of Science (JSPS) |
|
|
研究課題番号 |
JP24K17238 |
|
|
研究課題番号URI |
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K17238/ |
|
|
研究課題名 |
人と親和性が高い自動走行車実現に向けたストレス推定とAR情報提示のストレス軽減 |
| 助成情報 |
|
|
|
助成機関名 |
Hoso Bunka Foundation |
|
|
言語 |
en |
fulltext (4.0 MB)
