AI-Driven Personalized Soundscapes for Improving Attention, Relaxation, and Cognitive Recovery
Keywords:
personalized soundscapes; affective computing; cognitive recovery; AI governance; adaptive audio systems; human-centered AI; socio-technical infrastructureAbstract
Personalized soundscapes are emerging as a promising non-pharmacological intervention for attention regulation, stress reduction, and cognitive recovery. Recent developments in generative audio models, wearable sensing, and affective computing have created the conditions for soundscapes that adapt continuously to physiological and contextual states. However, moving from isolated experimental prototypes to safe, equitable, and sustainable socio-technical infrastructures requires system-level analysis that extends beyond algorithmic performance. This paper examines the design space, architecture, data infrastructure, governance mechanisms, robustness requirements, deployment models, and policy implications of AI-driven personalized soundscapes. It argues that effective systems must integrate real-time physiological sensing with context-aware generative sound design while addressing latency, privacy, model interpretability, fairness, and long-term user autonomy. The paper further considers structural trade-offs between edge and cloud processing, the need for transparent personalization, and the risks of over-optimizing immediate physiological markers at the expense of broader cognitive and social outcomes. By drawing on interdisciplinary evidence from auditory neuroscience, affective computing, human-computer interaction, and AI governance, the analysis develops a framework for designing personalized soundscape infrastructures that are not only technically robust but also ethically defensible and institutionally sustainable.
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This article is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
