| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2025-06-23 |
| タイトル |
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タイトル |
Hype Dlive: XR Live Performance System for Improving Passenger Comfort in Autonomous Driving |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
|
主題 |
autonomous driving |
| キーワード |
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主題Scheme |
Other |
|
主題 |
XR live music |
| キーワード |
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主題Scheme |
Other |
|
主題 |
entertainment |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
passenger comfort |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
human-agent interaction |
| 資源タイプ |
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資源タイプ |
conference paper |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Akiyoshi, Takuto
Abe, Masashi
Shimizu, Yuki
Takahama, Yusaku
Nagata, Kouki
Okami, Yosuke
澤邊, 太志
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
One of the stress factors for passengers in an autonomous vehicle is the stress from vehicle behavior caused by unpredictable acceleration, deceleration, and route changes. Although there are researches on stress reduction methods using behavior control and information presentation to realize a comfortable autonomous vehicle, there are still few methods for stress reduction and dissipation through application to XR entertainment. In this work, we propose "Hype Dlive", a system that utilizes vehicle behavior as XR live music performance, and aims to improve passenger comfort by utilizing vehicle behavior as tactile and vestibular stimuli to generate a sense of presence and excitement. |
| 書誌情報 |
en : Proceedings of the 10th International Conference on Human-Agent Interaction
p. 296-298,
発行日 2022-12-05
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| 会議情報 |
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会議名 |
International Conference on Human-Agent Interaction (HAI 2022) |
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開始年 |
2022 |
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開始月 |
12 |
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開始日 |
05 |
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終了年 |
2022 |
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終了月 |
12 |
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終了日 |
08 |
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開催期間 |
2022-12-05 - 2022-12-08 |
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開催地 |
Christchurch, New Zealand |
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開催国 |
NZL |
| 出版者 |
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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 |
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関連識別子 |
https://doi.org/10.1145/3527188.3563916 |
| 出版者版URI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
URI |
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関連識別子 |
https://dl.acm.org/doi/10.1145/3527188.3563916 |
| 権利 |
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権利情報 |
$00A9 2022 Association for Computing Machinery. |
| 著者版フラグ |
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出版タイプ |
AM |
| 助成情報 |
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助成機関名 |
Naist Foundation |
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研究課題名 |
Naist Foundation FY2022 |
fulltext (3.2 MB)
