Considerations and Concerns of Professional Game Composers Regarding Artificially Intelligent Music Technology

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Games Pub Date : 2023-09-25 DOI:10.1109/TG.2023.3319085
Kyle Worrall;Tom Collins
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Abstract

Artificially intelligent music technology (AIMT) is a promising field with great potential for creating innovation in music. However, the considerations and concerns surrounding AI-generated music from the perspective of professional video game composers have yet to be fully explored. In this study, 11 professional video game composers were interviewed to determine how they feel about AIMT and how this informs future research and tool design within the games industry. The interviews were analyzed using a reflexive thematic analysis to identify key themes. The study found that while composers recognize the benefits of music AI, they have complex concerns beyond the obvious concerns of AI infringing on their agency and creativity. There is an inherent clash between the creative ego and music AI, which can make it difficult for composers to embrace this technology. Furthermore, a lack of standard technical knowledge, support, understanding, and trust in music AI is impeding tool use within the industry. These findings have implications for music AI researchers and industry practitioners. By better understanding the concerns and considerations of professional creatives, researchers can design and communicate their tools more effectively to music professionals. Moreover, this study lays the foundation for empirical research into the relationship between professional creatives and emerging AI technology—a topic that is underemphasized in current research.
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专业游戏作曲家对人工智能音乐技术的考虑和担忧
人工智能音乐技术(AIMT)是一个前景广阔的领域,在音乐创新方面具有巨大潜力。然而,从专业电子游戏作曲家的角度来看,他们对人工智能生成音乐的考虑和担忧尚未得到充分探讨。在本研究中,我们采访了 11 位专业视频游戏作曲家,以了解他们对 AIMT 的看法,以及这对游戏行业未来的研究和工具设计有何启发。我们采用反思性主题分析法对访谈进行了分析,以确定关键主题。研究发现,虽然作曲家们认识到音乐人工智能的好处,但他们除了担心人工智能侵犯他们的代理权和创造力之外,还有其他复杂的顾虑。创作自我与音乐人工智能之间存在固有的冲突,这可能使作曲家难以接受这项技术。此外,音乐人工智能缺乏标准的技术知识、支持、理解和信任,也阻碍了该工具在行业内的使用。这些发现对音乐人工智能研究人员和行业从业人员都有影响。通过更好地了解专业创作者的关注点和考虑因素,研究人员可以更有效地设计工具并与音乐专业人士沟通。此外,本研究还为专业创作人员与新兴人工智能技术之间关系的实证研究奠定了基础--而这一话题在当前的研究中并未得到足够重视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Games
IEEE Transactions on Games Engineering-Electrical and Electronic Engineering
CiteScore
4.60
自引率
8.70%
发文量
87
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Table of Contents IEEE Computational Intelligence Society Information IEEE Transactions on Games Publication Information Large Language Models and Games: A Survey and Roadmap Investigating Efficiency of Free-For-All Models in a Matchmaking Context
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