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.

该研究利用人工智能，包括生成式人工智能，探索了一种新的食品开发方法，旨在制造令人愉悦并与消费者情感共鸣的产品。研究中使用的食材推荐方法可以被视为一种形式的多模态生成，它以文本为输入并输出食材候选。研究聚焦于制作 “浪漫面包”，这是一种融入了浪漫日本电视节目细腻氛围的面包系列。研究分析了电视节目中的对话和歌曲歌词中的水果和甜品，以推荐表达浪漫情感的食材。根据这些推荐，面包开发人员考虑了面包的调味，并开发了新的面包品种。研究还包括了 31 位参与者的品尝评估和与产品开发人员的访谈。研究结果表明，由人工智能生成的口味与人类偏好之间存在显著相关性。该研究验证了在食品创新中使用人工智能的概念，并突出了通过人工智能和人类协作开发独特消费者体验的广阔潜力。