专业作曲家评估AI音乐工具，推动更可信可控的设计。
Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design
- 通过与作曲家访谈，收集对生成模型的使用反馈。
- 提升模型可追溯性、透明度和可解释性以增强信任。
- 发现可控性新功能需求，推动人本AI设计创新。
我们开展一项研究，探讨用户中心设计在音乐创作生成式AI（GenAI）工具开发中的作用。通过对专业作曲家进行半结构化访谈，收集了关于新型变体生成模型的使用体验，揭示了对信任、透明度和伦理设计的关切。研究结果形成了反馈闭环，指导模型优化，重点强化可追溯性、透明度和可解释性。同时，也发现了新的创新方向，包括对可控性功能的新设想，以及关于GenAI模型伦理与实践落地的研究问题。
原文摘要 · Abstract (English)
We present a study that explores the role of user-centred design in developing Generative AI (GenAI) tools for music composition. Through semi-structured interviews with professional composers, we gathered insights on a novel generative model for creating variations, highlighting concerns around trust, transparency, and ethical design. The findings helped form a feedback loop, guiding improvements to the model that emphasised traceability, transparency and explainability. They also revealed new areas for innovation, including novel features for controllability and research questions on the ethical and practical implementation of GenAI models.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。