Novice-Centered Application Design for Music Creation
Open accessAbstract
In the field of music production, the integration of machine learning-based technologies, particularly in the form of intelligent digital audio workstations and smart plugins, has gained traction. However, challenges arise when designing for novices, as controlling the models requires musical knowledge, and this could decrease the motivation to create. To mitigate these issues and serve the needs of novice users, we developed MARLEY, an application that employs machine learning to recommend loop sound samples and facilitate music prototyping. The user study revealed that participants enjoyed the experience, indicating its potential usefulness in the early stages of music production, while providing feedback for further improvements. Future work will focus on enhancing the model’s accuracy and explainability, as well as evaluating the tool’s usability and its impact on creativity support for novices among a broader and more diverse user base.
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Creativity is often framed as a deeply social process, especially in domains like music where improvisation, composition, and performance traditionally hinge on collaboration and interpersonal exchange.
“Creativity is often framed as a deeply social process [44], especially in domains like music where improvisation, composition, and performance traditionally hinge on collaboration and interpersonal exchange.”
From Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production (2025) · cites this paper as [44]
The Introduction discusses tools for novice music creation and shared agency between users and systems, while Section 3 describes designing a composition interface. Neither addresses creativity as a social process among people. Searches for social creativity, collaboration, and interpersonal exchange found no supporting passage in our copy. (LLM, conf=0.75)
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Cites
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“We defned the questions using a 7-point Likert scale (1: low, 7: high), referencing the Creativity Support Index [1] and the novice support tool [8].”
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Multi-source contrastive learning from musical audio
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Flagged first, then by citations
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Cited by
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Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production
Fu, Y., Newman, M., Going, L., Feng, Q., & Lee, J. H. (2025) · Proceedings of the 2025 ACM Designing Interactive Systems Conference · doi:10.1145/3715336.3735829 · Cited by 30 · see citing works
“Additionally, novices often lack foundational music knowledge and are deterred by the complexity of traditional production tools, making them prone to reduced motivation [47].”
Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production
Fu, Y., Newman, M., Going, L., Feng, Q., & Lee, J. H. (2025) · arXiv · Cited by 30 · see citing works
“Additionally, novices often lack foundational music knowledge and are deterred by the complexity of traditional production tools, making them prone to reduced motivation [47].”
Multi-layer rhythmic modeling and interactive system for guzheng music style generation
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CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Support
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- Authors
- Kobayashi, A., Sato, T., & Tateno, K.
- Affiliations
- Sony (Japan) (JP)
- Venue
- Designing Interactive Systems Conference
- Publisher
- ACM
- Published
- 2024-07
- Pages
- 125-129
- OpenAlex
- W4400206872
- Cited by
- 5
- References
- 10
- Citations by year
- 2026: 3 · 2025: 2
- FWCI
- 1.04
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Designing Interactive Systems Conference (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Music Technology and Sound Studies
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- music production, novice users, creativity support, explainability
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