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Participatory conceptual design of accessible digital musical instruments using generative AI

Aynsley, Hugh; Mitchell, Thomas J; Meckin, Dave

Authors

Hugh Aynsley

Tom Mitchell Tom.Mitchell@uwe.ac.uk
Professor of Audio and Music Interaction

Dave Meckin



Abstract

This paper explores the potential of AI text-to-image diffusion models (e.g. DALLE-2 and Midjourney) to support the early phase design of new digital musical instruments in collaboration with Disabled musicians. The paper presents initial findings from two speculative design workshops attended by Disabled participants who are affiliated with the London-based inclusive arts organisation Joy of Sound. The workshops included activities that enabled participants to co-create speculative images of new instruments, drawing on their own contributions. These included the overall appearance of the instrument, constituent materials and other design characteristics. The paper discusses the generated images and examines how diffusion models can be a useful tool to support the conceptual co-design phase of bespoke accessible instruments. The project findings indicate that diffusion models can be useful as a facilitatory tool for idea generation in the initial stages of instrument design.

Presentation Conference Type Conference Paper (Published)
Conference Name NIME 2023
Start Date May 31, 2023
End Date Jun 2, 2023
Acceptance Date Mar 16, 2023
Deposit Date May 19, 2023
Keywords AI, ADMI, Accessibility, Participatory Design, AI CCS Concepts, Human-centered computing, Accessibility, Accessibility design and evaluation methods, Human-centered computing, Interaction design, Interaction design process and methods, Participatory desig
Public URL https://uwe-repository.worktribe.com/output/10798868

This file is under embargo due to copyright reasons.

Contact hugh.aynsley@live.uwe.ac.uk to request a copy for personal use.




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