mlsanityData to 7 Oct 2026

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

arXiv 2501.15276 ↗First posted 25 Jan 2025cs.HC cs.AIcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 5 of its 75 references that are in the map. First posted on arXiv 25 Jan 2025.

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5 of 75 references.

References · 5

  1. 2024AI-Augmented Brainwriting: Investigating the use of LLMs in group ideationcited by 43
  2. 2019Counterpoint by Convolutioncited by 42
  3. 2023CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AIcited by 34
  4. 2021TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Methodcited by 20
  5. 2023From Text to Self: Users' Perceptions of Potential of AI on Interpersonal Communication and Selfcited by 18

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 6.

9 papers.