Abstract
This study explores a new method in food development by utilizing AI including generative AI, aiming to craft products that delight the senses and resonate with consumers' emotions. The food ingredient recommendation approach used in this study can be considered as a form of multimodal generation in a broad sense, as it takes text as input and outputs food ingredient candidates. This Study focused on producing "Romance Bread," a collection of breads infused with flavors that reflect the nuances of a romantic Japanese television program. We analyzed conversations from TV programs and lyrics from songs featuring fruits and sweets to recommend ingredients that express romantic feelings. Based on these recommendations, the bread developers then considered the flavoring of the bread and developed new bread varieties. The research included a tasting evaluation involving 31 participants and interviews with the product developers. Findings indicate a notable correlation between tastes generated by AI and human preferences. This study validates the concept of using AI in food innovation and highlights the broad potential for developing unique consumer experiences that focus on emotional engagement through AI and human collaboration.
Abstract (translated)
本研究探索了一种通过利用AI来发展食品的新方法，包括生成式AI，旨在打造令感官愉悦并与其产生共鸣的产品。在研究中使用的食品配料推荐方法可以被认为是一种多模态生成形式，因为它以文本为输入并输出食品配料候选项。本研究专注于制作“浪漫面包”，这是一系列带有反映浪漫日本电视节目细微差别的面包。我们分析了电视节目中的对话和歌曲中的歌词，以推荐表达浪漫情感的配料。根据这些建议，面包开发者 then 考虑了面包的调味并开发了新品种的面包。研究包括31名参与者的品尝评估和与产品开发者的访谈。研究结果表明，AI生成的味道与人类偏好之间存在显著的相关性。本研究证实了利用AI进行食品创新的含义，并强调了通过AI和人类合作开发独特消费者体验的广泛潜力。
URL
https://arxiv.org/abs/2404.12760
