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Jess+: AI and robotics with inclusive music-making

Vear, Craig; Hazzard, Adrian; Moroz, Solomiya; Benerradi, Johann

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Professor in Music & Computer Science

Johann Benerradi


This paper discusses the findings from a cross-sector research project investigating how a digital score created using AI and robotics might stimulate new creative opportunities and relationships within the practices of an inclusive music ensemble. Through the concept of a digital score [65], AI and a robotic arm were introduced into an ensemble's musical practice to evaluate the impact and benefits of using autonomous systems to challenge barriers around a disabled musician's access to creative music-making. Throughout the development process we placed an emphasis on involvement and togetherness of not only the AI and robots' contribution to shared creativity amongst the ensemble, but also to the social aspects of the creative process across the team of musicians, developers, researchers and supporting organisations. The findings were surprising with many aspects of the project exceeding the expectations of the original aims. In short, all the musicians benefited from the introduction of these unfamiliar technologies with practices enhanced and relationships transformed.

Conference Name CHI 24
Conference Location Honalulu, Hawaii
Start Date May 11, 2024
End Date May 16, 2024
Acceptance Date Feb 5, 2024
Online Publication Date May 11, 2024
Publication Date May 11, 2024
Deposit Date Feb 6, 2024
Publicly Available Date May 11, 2024
Publisher Association for Computing Machinery (ACM)
Pages 1-17
Book Title CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems
ISBN 9798400703300
Keywords CCS Concepts: • Human-centered computing → Collaborative and social computing devices Additional Key Words and Phrases: Embodied AI; neural networks; robotics; music-making; creativity; digital score
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Additional Information Published: 2024-05-11


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