Based on the shift from pre-industrial craftsmanship to serial production, this project examines how the growing field of machine learning can affect the designer's role in the potential future.
The project focuses on the design process itself, designing a system, and, through machine learning, synthesizing the design process from inspiration to iteration. The project shifts focus from the user to the designer, with the question of how the creative process can be automated.
During modernism, the serially-produced chair became heavily associated with the role of the designer. Swedish folk chairs are interesting as they represent a time before the "chair", while at the same time representing the first widespread distribution of the chair. However, the creators of the Swedish folk chair have often been lost throughout history. Similarly, the idolized author dissolves in the new paradigm of machine-learned design.
The work is based on 3D-scanned Swedish folk chairs acquired from seven museums throughout the country. These chairs act as inputs for a GAN neural network. GAN networks are distinguished by their ability to generate new data. The generated chair is then manufactured by automating the craftsmanship through CNC milling.
Valter Wagner Zethrin
Nils Barr Zeilon
Lucas Kristiansson Herrera
Marian Kleineberg, Matthias Fey,