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Design of White Noise Healing Wall Based on Attention Restoration Theory

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Augmented Cognition (HCII 2025)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 15778))

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Abstract

This study, based on the Attention Restoration Theory (ART), has developed an interactive white noise healing wall designed to help users restore their attention and reduce stress by simulating the auditory experience of natural environments and incorporating dynamically changing sound elements. The research utilizes the Grasshopper plugin within the Rhino software for parametric modeling, generating white noise that approximates the frequency spectrum of natural sounds through mechanical motion patterns. It also integrates design strategies such as “Being Away,” “Extent,” “Fascination,” and “Compatibility” to enhance the spatial sense of sound and the user’s immersive experience. Furthermore, the study explores the materials, structure, construction, and interaction methods of the wall device. Despite technical limitations and challenges in implementation, this research provides new ideas and approaches for the generation and application of white noise, combining natural white noise with mechanical white noise.

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Correspondence to Ningyi Zeng .

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Zeng, N. (2025). Design of White Noise Healing Wall Based on Attention Restoration Theory. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2025. Lecture Notes in Computer Science(), vol 15778. Springer, Cham. https://doi.org/10.1007/978-3-031-93724-8_14

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  • DOI: https://doi.org/10.1007/978-3-031-93724-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-93723-1

  • Online ISBN: 978-3-031-93724-8

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