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arXiv · 2403.10851

GustosonicSense: Towards understanding the design of playful gustosonic eating experiences

Yan Wang·Humphrey O. Obie·Zhuying Li·Flora D. Salim·John Grundy·Florian 'Floyd' Mueller
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Abstract

The pleasure that often comes with eating can be further enhanced with intelligent technology, as the field of human-food interaction suggests. However, knowledge on how to design such pleasure-supporting eating systems is limited. To begin filling this knowledge gap, we designed "GustosonicSense", a novel gustosonic eating system that utilizes wireless earbuds for sensing different eating and drinking actions with a machine learning algorithm and trigger playful sounds as a way to facilitate pleasurable eating experiences. We present the findings from our design and a study that revealed how we can support the "stimulation", "hedonism", and "reflexivity" for playful human-food interactions. Ultimately, with our work, we aim to support interaction designers in facilitating playful experiences with food.

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Yan Wang, Humphrey O. Obie, Zhuying Li, Flora D. Salim, John Grundy, Florian 'Floyd' Mueller. 2024-03-16. GustosonicSense: Towards understanding the design of playful gustosonic eating experiences. https://arxiv.org/abs/2403.10851

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