Sound Designer-Generative AI Interactions: Towards Designing Creative Support Tools for Professional Sound Designers

要旨

The practice of sound design involves creating and manipulating environmental sounds for music, films, or games. Recently, an increasing number of studies have adopted generative AI to assist in sound design co-creation. Most of these studies focus on the needs of novices, and less on the pragmatic needs of sound design practitioners. In this paper, we aim to understand how generative AI models might support sound designers in their practice. We designed two interactive generative AI models as Creative Support Tools (CSTs) and invited nine professional sound design practitioners to apply the CSTs in their practice. We conducted semi-structured interviews and reflected on the challenges and opportunities of using generative AI in mixed-initiative interfaces for sound design. We provide insights into sound designers' expectations of generative AI and highlight opportunities to situate generative AI-based tools within the design process. Finally, we discuss design considerations for human-AI interaction researchers working with audio.

著者
Purnima Kamath
National University of Singapore, Singapore, Singapore
Fabio Morreale
University of Auckland, Auckland, New Zealand
Priambudi Lintang Bagaskara
National University of Singapore (NUS), Singapore, Singapore
Yize Wei
National University of Singapore, Singapore, Singapore
Suranga Nanayakkara
Department of Information Systems and Analytics, National University of Singapore, Singapore, Singapore
論文URL

doi.org/10.1145/3613904.3642040

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: Music

323C
5 件の発表
2024-05-14 18:00:00
2024-05-14 19:20:00