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マツムラ セイイチロウ
MATSUMURA SEIICHIRO
松村 誠一郎 所属 デザイン学部 デザイン学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2025/12 |
| 形態種別 | 国際会議論文 |
| 査読 | 査読あり |
| 標題 | Verification of the interactive installation‘ Urban Green Symphony 4.0 ’using multichannel outputs |
| 執筆形態 | 共著 |
| 掲載誌名 | The Proceeding of Asia Digital Art and Design Association (ADADA) International 2025 |
| 掲載区分 | 国外 |
| 出版社・発行元 | Asia Digital Art and Design Association |
| 総ページ数 | 6 |
| 担当区分 | 最終著者 |
| 著者・共著者 | Xin Yan (Graduate School of Advanced Science and Technology, Tokyo Denki University), Seiichiro Matsumura (Graduate School of Design, Tokyo University of Technology) |
| 概要 | Urban Green Symphony Ver.4.0 invites participants to become active performers within an immersive auditory landscape. This interactive installation utilises real-time hand gesture information to control pre-recorded sound materials under a multichannel audio system. They can not only explore the dynamic contrast of the site-specific soundscape between urban and green spaces but also transform those into an evolved musical expression by using the machine learning library‘ RAVE ’. All environmental sounds featured in this piece were recorded on-site, including the auditory characteristics of urban green spaces across Tokyo, Yokohama, and Saitama. These recordings serve as the foundation for the installation ’s 2 interactive modes. In Soundscape Mode, participants can playback sound materials of authentic field recordings by‘ Touching ’the specific areas on the map to explore the audible atmosphere of each place. In Symphony Mode, RAVE reinterprets and transforms field recording sounds into a musical sound, allowing participants to‘Conduct’ the evolving musical sound with their hand gestures. During the exhibition, we conducted a questionnaire survey and short interviews with participants. Its purposes were to assess the effectiveness of the interaction design and content, verifying the system ’s usability and immersive qualities. As a result, we could confirm the progress between versions. |
| 外部リンクURL | https://www.jstage.jst.go.jp/article/adadapic/2025/0/2025_CA0201/_article/-char/en |