Musician-AI partnership mediated by emotionally-aware smart musical instruments

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
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引用次数: 0

Abstract

The integration of emotion recognition capabilities within musical instruments can spur the emergence of novel art formats and services for musicians. This paper proposes the concept of emotionally-aware smart musical instruments, a class of musical devices embedding an artificial intelligence agent able to recognize the emotion contained in the musical signal. This spurs the emergence of novel services for musicians. Two prototypes of emotionally-aware smart piano and smart electric guitar were created, which embedded a recognition method for happiness, sadness, relaxation, aggressiveness and combination thereof. A user study, conducted with eleven pianists and eleven electric guitarists, revealed the strengths and limitations of the developed technology. On average musicians appreciated the proposed concept, who found its value in various musical activities. Most of participants tended to justify the system with respect to erroneous or partially erroneous classifications of the emotions they expressed, reporting to understand the reasons why a given output was produced. Some participants even seemed to trust more the system than their own judgments. Conversely, other participants requested to improve the accuracy, reliability and explainability of the system in order to achieve a higher degree of partnership with it. Our results suggest that, while desirable, perfect prediction of the intended emotion is not an absolute requirement for music emotion recognition to be useful in the construction of smart musical instruments.

以情感感知智能乐器为媒介,建立音乐家与人工智能之间的合作关系
将情感识别功能集成到乐器中,可以促进新的艺术形式和音乐家服务的出现。本文提出了情感感知智能乐器的概念,这是一类嵌入了人工智能代理的音乐设备,能够识别音乐信号中包含的情感。这将促进为音乐家提供新颖的服务。我们制作了两台情感感知智能钢琴和智能电吉他的原型,它们都嵌入了一种识别快乐、悲伤、放松、攻击性及其组合的方法。对 11 位钢琴家和 11 位电吉他演奏家进行的用户研究显示了所开发技术的优势和局限性。平均而言,音乐家们对提出的概念表示赞赏,认为它在各种音乐活动中都很有价值。大多数参与者倾向于证明系统对他们所表达情感的错误或部分错误分类的合理性,并报告说他们理解产生特定输出的原因。有些参与者甚至更信任系统,而不是自己的判断。相反,其他参与者则要求提高系统的准确性、可靠性和可解释性,以便与系统建立更高的伙伴关系。我们的研究结果表明,音乐情绪识别系统要想在智能乐器制造中发挥作用,对预期情绪的完美预测虽然是一个理想的条件,但并不是一个绝对的要求。
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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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