| アイテムタイプ |
itemtype_ver1(1) |
| 公開日 |
2025-09-05 |
| タイトル |
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タイトル |
Manzai Karaoke: A Real-Time Visual Guidance System for Assisting Japanese Double Act Performance |
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言語 |
en |
| 著者 |
Komatsu, Shunta
Kubota, Tomonori
Sato, Satoshi
Ogawa, Kohei
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| アクセス権 |
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アクセス権 |
embargoed access |
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アクセス権URI |
http://purl.org/coar/access_right/c_f1cf |
| 権利 |
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|
権利情報 |
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-032-02555-5_16 |
|
言語 |
en |
| 内容記述 |
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内容記述タイプ |
Abstract |
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内容記述 |
While the common way to enjoy two-person comedic dialogue, such as double act, is by watching it, performing Japanese manzai has recently gained attention for its entertainment value and effectiveness in improving dialogue skills. However, performing manzai is challenging, as it requires memorizing scripts and mastering its unique intonation, actions, and timing. In this study, we propose “Manzai Karaoke,” a real-time visual guidance system that assists two-person manzai performances. Similar to karaoke, this system provides script line displays and nonverbal performance cues, enabling inexperienced users to perform manzai. To design an interface that meets the key requirements—allowing users to perform with ease and ensuring audience amusement—we conducted a two-step prototyping and user study. The first step validated the feasibility of real-time comedy performance assistance, revealing that in addition to displaying script lines, guidance on intonation, emotion, actions, and timing is essential. The second step demonstrated that the implemented interface incorporating these elements effectively meets the requirements. This study contributes to the field of entertainment computing by demonstrating the potential of visual guidance and providing design recommendations for assisting novice manzai performances. |
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言語 |
en |
| 内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
M., Di Iorio, A., Figueroa, P., Yamanishi, R., Matsumura, K. (eds) Entertainment Computing – ICEC 2025. ICEC 2025. Lecture Notes in Computer Science |
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言語 |
en |
| 出版者 |
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出版者 |
Springer |
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言語 |
en |
| 言語 |
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|
言語 |
eng |
| 資源タイプ |
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資源タイプresource |
http://purl.org/coar/resource_type/c_5794 |
|
タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
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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/10.1007/978-3-032-02555-5_16 |
| 関連情報 |
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|
関連タイプ |
isPartOf |
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|
識別子タイプ |
ISBN |
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関連識別子 |
978-3-032-02554-8 |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
0302-9743 |
| 書誌情報 |
en : Lecture Notes in Computer Science
巻 16042,
p. 219-232,
発行日 2025-08-22
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| ファイル公開日 |
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|
日付 |
2026-08-22 |
|
日付タイプ |
Available |
paper_86.pdf (3.5 MB)
