  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.
