Jess+: AI and robotics with inclusive music-making

要旨

This paper discusses the findings from a cross-sector research project investigating how a digital score created using AI and robot-ics 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 ben-efits 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 as-pects of the creative process across the team of musicians, develop-ers, researchers and supporting organisations. The findings were surprising with many aspects of the project exceeding the expecta-tions of the original aims. In short, all the musicians benefited from the introduction of these unfamiliar technologies with practices enhanced and relationships transformed.

著者
Craig Vear
University of Nottingham , Nottingham , United Kingdom
Adrian Hazzard
University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
Solomiya Moroz
University of Nottingham, Nottingham, United Kingdom, United Kingdom
Johann Benerradi
University of Nottingham, Nottingham, England, United Kingdom
論文URL

doi.org/10.1145/3613904.3642548

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Arts and Creative AI

320 'Emalani Theater
4 件の発表
2024-05-14 20:00:00
2024-05-14 21:20:00