评估人类-AI交互：通过可用性、用户体验和接受度指标评价MMM-C——一个用于音乐创作的人工智能系统
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
AI总结：
本研究评估了集成于Cubase的MMM-C音乐创作AI系统，通过混合方法测量专家级作曲家（业余与专业）的可用性、用户体验和接受度，结果显示积极反馈但存在可控性局限。
摘要：
随着人工智能（AI）的兴起，在包括音乐在内的各种艺术领域中，人们对人类-AI共同创作的兴趣日益增加，因为AI驱动的系统常常能够生成与人类水平相当的产物。如今，此类系统对音乐实践的影响正被研究。我们报告了一项关于多轨音乐机器（MMM）作为音乐作曲家共同创作AI工具的用户采纳情况的全面评估。为此，我们将MMM集成到Steinberg公司流行的数字音频工作站（DAW）Cubase中，通过制作一个名为MMM-Cubase（MMM-C）的“单参数”插件界面，实现人类-AI共同作曲。我们贡献了一种方法论组合，作为一项由三部分组成的混合方法研究，测量该系统在两组专家级作曲家（业余爱好者和专业人士）中的可用性、用户体验和技术接受度。结果显示，可用性和接受度得分积极。用户报告了使用该系统时的新颖性、惊喜感和易用性体验，以及在生成音乐时界面可控性和可预测性的局限性。研究发现两组用户之间没有显著差异。
英文摘要：
With the rise of artificial intelligence (AI), there has been increasing interest in human-AI co-creation in a variety of artistic domains including music as AI-driven systems are frequently able to generate human-competitive artifacts. Now, the implications of such systems for musical practice are being investigated. We report on a thorough evaluation of the user adoption of the Multi-Track Music Machine (MMM) as a co-creative AI tool for music composers. To do this, we integrate MMM into Cubase, a popular Digital Audio Workstation (DAW) by Steinberg, by producing a "1-parameter" plugin interface named MMM-Cubase (MMM-C), which enables human-AI co-composition. We contribute a methodological assemblage as a 3-part mixed method study measuring usability, user experience and technology acceptance of the system across two groups of expert-level composers: hobbyists and professionals. Results show positive usability and acceptance scores. Users report experiences of novelty, surprise and ease of use from using the system, and limitations on controllability and predictability of the interface when generating music. Findings indicate no significant difference between the two user groups.
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。
