Abstract
In this paper, we describe a prototype, which is aimed at cooking chefs and that generates list of ingredients for recipes made of local plants. We focus on a specific type of cooking recipes based on plants, which are used in cultural food practices worldwide to support wellbeing (“phytonutrition”). Researchers in food technology have been successfully developing food recommenders but there is a gap concerning the notion of phytonutrition changes the set of required functions and the theoretical framework to assess the software. We describe an end-to-end support system for recipe design in compliance with European regulations concerning phytonutrients. Results of a longitudinal test, which was done in a hotel in the Alpine region, show that our software allows chefs to conceive a set of dishes, which increase the satisfaction of customers.
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Bonazzi, R., Vaz, M.C. (2021). AMRITA: Designing New Recipes for Phytonutrition. In: Chandra Kruse, L., Seidel, S., Hausvik, G.I. (eds) The Next Wave of Sociotechnical Design. DESRIST 2021. Lecture Notes in Computer Science(), vol 12807. Springer, Cham. https://doi.org/10.1007/978-3-030-82405-1_7
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DOI: https://doi.org/10.1007/978-3-030-82405-1_7
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