A portable single-board-computer AI music platform and five case studies demonstrate that remapping inputs, interleaving fast and slow controls, small artist datasets, and cheap hardware can open new artist-centered design spaces for intelligent instruments.
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The research identifies a 'modality gap' and a 'self-blame' phenomenon in blind users' interactions with agentic AI, advocating for non-visual, blame-aware explanation frameworks.
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Opening the Design Space: Two Years of Performance with Intelligent Musical Instruments
A portable single-board-computer AI music platform and five case studies demonstrate that remapping inputs, interleaving fast and slow controls, small artist datasets, and cheap hardware can open new artist-centered design spaces for intelligent instruments.
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Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era
The research identifies a 'modality gap' and a 'self-blame' phenomenon in blind users' interactions with agentic AI, advocating for non-visual, blame-aware explanation frameworks.