arXiv:2501.15276cs.HCcs.AI2025-01被引 34

九名本科生用AI创作三首歌,揭示新手协作创作的新模式。

Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production

  • 用AI生成音乐、歌词与封面,全程参与从构思到上线的创作流程。
  • 发现AI压缩准备阶段,催生'拼贴优化'新创作环节,提升效率。
  • 适合教育、人机协作研究者,揭示新手在AI辅助下的角色演变。

人工智能正重塑创意领域,但其在群体协作中对新手用户的影响仍缺乏研究。本研究通过一学期课程案例,观察九名本科生使用AI工具在10周内完成三首原创音乐作品的全过程,涵盖构思、制作、发布至Spotify平台。参与者利用AI进行音乐生成、歌词创作、封面设计及发行。研究发现:AI加速了创意萌发,却压缩了传统准备阶段;新手需面对复杂的内容筛选与验证任务。同时,出现新的‘拼贴与优化’创作阶段,将多种AI输出整合为完整作品。此外,AI改变了团队协作关系与角色分工。基于此,提出‘人机协同创作阶段模型’与‘人机代理模型’,为理解人机共创提供新视角。

原文摘要 · Abstract (English)

Artificial intelligence is reshaping creative domains, yet its co-creative processes, especially in group settings with novice users, remain under explored. To bridge this gap, we conducted a case study in a college-level course where nine undergraduate students were tasked with creating three original music tracks using AI tools over 10 weeks. The study spanned the entire creative journey from ideation to releasing these songs on Spotify. Participants leveraged AI for music and lyric production, cover art, and distribution. Our findings highlight how AI transforms creative workflows: accelerating ideation but compressing the traditional preparation stage, and requiring novices to navigate a challenging idea selection and validation phase. We also identified a new "collaging and refinement" stage, where participants creatively combined diverse AI-generated outputs into cohesive works. Furthermore, AI influenced group social dynamics and role division among human creators. Based on these insights, we propose the Human-AI Co-Creation Stage Model and the Human-AI Agency Model, offering new perspectives on collaborative co-creation with AI.

人机共创音乐生成教育应用

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