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DeformTune: A Deformable XAI Music Prototype for Non-Musicians

arXiv 2508.00160 ↗First posted 31 Jul 2025cs.HC cs.AI cs.SDcited by 0

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Abstract (arXiv)

Many existing AI music generation tools rely on text prompts, complex interfaces, or instrument-like controls, which may require musical or technical knowledge that non-musicians do not possess. This paper introduces DeformTune, a prototype system that combines a tactile deformable interface with the MeasureVAE model to explore more intuitive, embodied, and explainable AI interaction. We conducted a preliminary study with 11 adult participants without formal musical training to investigate their experience with AI-assisted music creation. Thematic analysis of their feedback revealed recurring challenge--including unclear control mappings, limited expressive range, and the need for guidance throughout use. We discuss several design opportunities for enhancing explainability of AI, including multimodal feedback and progressive interaction support. These findings contribute early insights toward making AI music systems more explainable and empowering for novice users.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 11 references that are in the map. First posted on arXiv 31 Jul 2025.

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References · 3

  1. 2021Question-Driven Design Process for Explainable AI User Experiencescited by 31
  2. 2019Learning to Traverse Latent Spaces for Musical Score Inpaintingcited by 24
  3. 2023A Context-Sensitive Approach to XAI in Music Performancecited by 1

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