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arXiv 2602.22606cs.HCcs.AI
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CoLyricist:通过与工作流对齐的支持增强歌词创作

CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Support

University of California, Los Angeles(加州大学洛杉矶分校)

Masahiro Yoshida, Bingxuan Li, Songyan Zhao, Qinyi Zhou, Shiwei Hu, Xiang Anthony Chen, Nanyun Peng

AI总结:

CoLyricist通过与工作流对齐的AI支持,提升歌词创作效率和体验,适用于不同技能水平的创作者。

摘要:

我们提出了CoLyricist,一种辅助歌词创作的AI工具,旨在支持经验丰富的歌词创作者的典型工作流程并提高其创作效率。虽然歌词创作者有独特的流程,但许多人遵循共同的阶段。未能适应这些阶段的工具挑战将其整合到创造性实践中。现有研究和工具对这些歌词写作阶段及其相关挑战的理解不足,导致了无效的设计。通过一项形成性研究,对10名经验丰富的歌词创作者进行半结构化访谈,我们识别出四个关键阶段:主题设定、构思、草拟歌词和旋律匹配。CoLyricist通过为每个阶段提供定制的AI驱动支持来解决这些需求,优化歌词创作流程,使其更加无缝和高效。为了检验这种与工作流程对齐的设计是否也对没有先前经验的人有益,我们与16名参与者进行了用户研究,包括经验丰富的和初学者的歌词创作者。结果表明,CoLyricist在不同技能水平上都增强了歌词写作体验。初学者尤其欣赏旋律匹配功能,而有经验的创作者则重视构思支持。

英文摘要:

We propose CoLyricist, an AI-assisted lyric writing tool designed to support the typical workflows of experienced lyricists and enhance their creative efficiency. While lyricists have unique processes, many follow common stages. Tools that fail to accommodate these stages challenge integration into creative practices. Existing research and tools lack sufficient understanding of these songwriting stages and their associated challenges, resulting in ineffective designs. Through a formative study involving semi-structured interviews with 10 experienced lyricists, we identified four key stages: Theme Setting, Ideation, Drafting Lyrics, and Melody Fitting. CoLyricist addresses these needs by incorporating tailored AI-driven support for each stage, optimizing the lyric writing process to be more seamless and efficient. To examine whether this workflow-aligned design also benefits those without prior experience, we conducted a user study with 16 participants, including both experienced and novice lyricists. Results showed that CoLyricist enhances the songwriting experience across skill levels. Novice users especially appreciated the Melody-Fitting feature, while experienced users valued the Ideation support.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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