Input-Envelope-Output: Auditable Generative Music Rewards in Sensory-Sensitive Contexts
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866917295869132800 |
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| author | Ye, Cong Shang, Songlin Ma, Xiaoxu Zhang, Xiangbo |
| author_facet | Ye, Cong Shang, Songlin Ma, Xiaoxu Zhang, Xiangbo |
| contents | Generative feedback in sensory-sensitive contexts poses a core design challenge: large individual differences in sensory tolerance make it difficult to sustain engagement without compromising safety. This tension is exemplified in autism spectrum disorder (ASD), where auditory sensitivities are common yet highly heterogeneous. Existing interactive music systems typically encode safety implicitly within direct input-output (I-O) mappings, which can preserve novelty but make system behavior hard to predict or audit. We instead propose a constraint-first Input-Envelope-Output (I-E-O) framework that makes safety explicit and verifiable while preserving action-output causality. I-E-O introduces a low-risk envelope layer between user input and audio output to specify safe bounds, enforce them deterministically, and log interventions for audit. From this architecture, we derive four verifiable design principles and instantiate them in MusiBubbles, a web-based prototype. Contributions include the I-E-O architecture, MusiBubbles as an exemplar implementation, and a reproducibility package to support adoption in ASD and other sensory-sensitive domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_22813 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Input-Envelope-Output: Auditable Generative Music Rewards in Sensory-Sensitive Contexts Ye, Cong Shang, Songlin Ma, Xiaoxu Zhang, Xiangbo Human-Computer Interaction Generative feedback in sensory-sensitive contexts poses a core design challenge: large individual differences in sensory tolerance make it difficult to sustain engagement without compromising safety. This tension is exemplified in autism spectrum disorder (ASD), where auditory sensitivities are common yet highly heterogeneous. Existing interactive music systems typically encode safety implicitly within direct input-output (I-O) mappings, which can preserve novelty but make system behavior hard to predict or audit. We instead propose a constraint-first Input-Envelope-Output (I-E-O) framework that makes safety explicit and verifiable while preserving action-output causality. I-E-O introduces a low-risk envelope layer between user input and audio output to specify safe bounds, enforce them deterministically, and log interventions for audit. From this architecture, we derive four verifiable design principles and instantiate them in MusiBubbles, a web-based prototype. Contributions include the I-E-O architecture, MusiBubbles as an exemplar implementation, and a reproducibility package to support adoption in ASD and other sensory-sensitive domains. |
| title | Input-Envelope-Output: Auditable Generative Music Rewards in Sensory-Sensitive Contexts |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2602.22813 |