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Conference object . 2024
License: CC BY
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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Resonant Relaxation: Affective State Change via Procedurally Generated Haptics

Authors: Göke, Vincent; Santiago III, Jose Maria; Sendner, Moritz; Shor, Daniel;

Resonant Relaxation: Affective State Change via Procedurally Generated Haptics

Abstract

The ongoing shift towards digital sedentary lifestyles has increased stress in daily life and calls for innovative approaches to improve mental and physical health. This project explores the capabilities of AI-generated audio for affective haptic feedback to create experiences that induce relaxation and enhance emotional well-being and productivity. We designed a web application that allows haptic designers to create customized haptic patterns for respiration-based relaxation practices. Our system offers customizable parameters and leverages AIdriven audio-haptic composition to tailor relaxation experiences to individual userneeds. Initial findings suggest that generative AI supports designers in creating personalized audio-haptic experiences, potentially reducing stress and improving relaxation. This lays the groundwork for future exploration into broader emotional state management.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average