How ai could enable creative
potential in the field of cooking

Backround

Chat gtp, Dallee, Midjourney have recently experienced a definitive breakthrough. Disruptive technologies have always shaped our lives and the future. In the following project, we apply methods and techniques of design futuring to explore possible scenarios and design spaces in specific contexts, taking into account current developments and working out possible artifacts of the future. All this with regard to developments in generative artificial intelligence and in relation to a self-chosen context in which creativity is required.

design futuring

Design futuring refers to the process of envisioning and creating designs that anticipate and adapt to potential future needs, challenges, and changes in society, technology, and the environment. It involves a proactive approach to design that considers long-term impacts and possibilities.

How could the current technical possibilities influence creative recipe development?

The creation of new recipes often starts with a blank sheet of paper and a trip to the local weekly market.  At the same time, it is already possible today to transfer flavor combinations from food pairing to software, such as IBM's "Watson" algorithm, or to have new recipes generated using AI based on existing recipes. We test initial reactions to recipes created with the help of artificial intelligence with fellow students. A recipe for a cake is initially met with skepticism, but the result is convincing. At the moment, however, nobody can imagine relying purely on artificial intelligence for cooking.  If we look at the broader context and take a look at our current food production, we can see that the agricultural industry is already highly digitized and data is collected through smart monitoring. Technology is mainly aimed at more efficient use of land and the resulting (increased) yield. This approach leads to depleted and infertile soils in the long term.
Create is a digital,
Ai-supported application to support the recipe development process. It supports the creative process and gives space for inspiration and new dishes. Based on existing combination possibilities from food pairings as well as tried and tested combinations from the wealth of experience of professional chefs, the recipe development process is supplemented. Further more, carefully produced, seasonal ingredients and regionality are being promoted.
Create recognizes a written ingredient and provides additional information.  This can be called up using the "+" that appears.
Further information on the ingredient - for example flavor characteristics, seasonality or in which recipes it is already used - can be called up by clicking on the variety that appears.
During the process, the help palette at the bottom right can be used to get inspiration on which foods go particularly well with the ingredients entered so far. These can be entered by dragging them into the drawing area.
By drawing around various selected ingredients, recipe suggestions are called up from the ingredients.  In addition, by adding another course, you can refer to the already created course in terms of taste.
The work can be saved and continued at a later date.
New recipes are added to the system by recording the process and can in turn serve as the basis for new recipes.

about the project

The reaction of people trying ai “generatet” food was really interesting, as almost none of them expected the food as something  delishious. most of them where critical and expected the food as less tasty. also the concern of professional chefs regarding the loss of real natural taste within artificial produced  nutritions guided our design decisions. it became clear, that ai could not replace human nature in develloping new receips but can function as an extension and an enabler of creativity. In order to evaluate results human being must be involved in the processes at every state.

Class

Strategische Gestaltung 2 Sem.

Analytisches Gesaltungsprojekt
Design futuring

4 Monate
10/2022 - 02/2023

Supervisor

Prof. Benedikt Groß

Team

Yvonne Weimar
Diana Hutter

my part

Research
Strategy & Ideation
UI & UX Design
Testing
Visualisation & Screenanimation

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