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.

翻译：味觉常伴随的愉悦感可通过智能技术进一步增强，正如人-食物交互领域研究所揭示的那样。然而，关于如何设计此类支持愉悦感的进食系统的知识仍十分有限。为填补这一知识空白，我们设计了"GustosonicSense"——一种新颖的味觉-听觉进食系统，该系统利用无线耳机通过机器学习算法感知不同进食与饮水动作，并触发趣味性声音反馈，以此促进愉悦的进食体验。本文介绍了我们的设计发现及一项研究结果，该研究揭示了如何支持趣味性人-食物交互中的"刺激"、"享乐"与"反思性"要素。最终，本研究旨在为交互设计师提供支持，以促进食品相关的趣味性体验。