  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.
