Food Development through Co-creation with AI: bread with a "taste of love"

TL;DR

This paper presents a novel AI-driven approach to food development, creating emotionally resonant bread products by analyzing media content and involving human taste testing, demonstrating AI's potential in culinary innovation.

Contribution

Introduces a multimodal AI method for ingredient recommendation based on media analysis, enabling the creation of emotionally themed food products like Romance Bread.

Findings

AI-generated tastes correlate with human preferences

AI can assist in creating emotionally engaging food products

The approach fosters collaboration between AI and human chefs

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.