Exploring the Potential of Recipe Model Canvas 1.0: A Case Study on Thai Herb-Infused Mayonnaise Formulation
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Abstract
This study aims to apply the concept of the Recipe Model Canvas (RMC), previously developed by the researcher, to systematically design food recipes in practice. The goal is to elevate the concept into a practical tool known as RMC 1.0, which integrates key components such as ingredient identity, cooking techniques, presentation, and menu communication. Artificial intelligence systems (ChatGPT, Claude, Gemini) were used to generate initial ideas and prototype recipes for Thai herb-infused mayonnaise under the RMC framework. A total of four recipes were created one generated solely by AI and three developed through a combination of AI and RMC-and were evaluated through sensory testing with 50 consumers using a 9-point hedonic scale. Additional questionnaires assessed perceptions of Thainess, novelty, and food pairing.
ANOVA results indicated that recipes developed with RMC received significantly higher mean scores than those from AI alone (p < 0.05). Notably, the ChatGPT + RMC recipe (F2) achieved the highest ratings in flavour, aroma, and overall satisfaction. Furthermore, correlation analysis revealed a positive relationship between “Thainess” and “novelty” with “overall experience” (r = 0.449 and 0.405, p < 0.05).
The findings confirm that RMC 1.0 is an effective tool for systematic recipe development and can support the creation of culturally meaningful food products with high consumer acceptance.
Article Details
Articles published are copyright of the Journal of Home Economics Technology and Innovation. Rajamangala University of Technology Thanyaburi The statements contained in each article in this academic journal are the personal opinions of each author and are not related to Rajamangala University of Technology Thanyaburi and other faculty members at the university in any way Responsibility for all elements of each article belongs to each author. If there is any mistake Each author is solely responsible for his or her own articles.
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