  In recent years, text-to-music models have been the biggest breakthrough in
automatic music generation. While they are unquestionably a showcase of
technological progress, it is not clear yet how they can be realistically
integrated into the artistic practice of musicians and music practitioners.
This paper aims to address this question via Prompt Audio Generation User
Research Investigation (PAGURI), a user experience study where we leverage
recent text-to-music developments to study how musicians and practitioners
interact with these systems, evaluating their satisfaction levels. We developed
an online tool through which users can generate music samples and/or apply
recently proposed personalization techniques, based on fine-tuning, to make the
text-to-music model generate sounds closer to their needs and preferences.
Using questionnaires, we analyzed how participants interacted with the proposed
tool, to understand the effectiveness of text-to-music models in enhancing
users' creativity. Results show that even if the audio samples generated and
their quality may not always meet user expectations, the majority of the
participants would incorporate the tool in their creative process. Furthermore,
they provided insights into potential enhancements for the system and its
integration into their music practice.
