Exploration of AI-Driven Furniture Design Education

A Workshop Case Study
POST_C~1
A Workshop Case Study
Chinua Lin, Byungsoo Kim
Kansas State University

Exploration of AI-Driven Furniture Design Education

A Workshop Case Study
POST_C~1

This abstract describes a study that was conducted to explore the potential of using artificial intelligence (AI) in furniture design education. Prior research has shown that text-based interaction and generative AI can support idea generation, and some studies suggest that AI should be considered as a co-creator rather than just a tool. However, there is a lack of research specifically on incorporating AI into furniture design education. The study was held in June 2022 as an online workshop and attended by 15 industrial design students. The workshop used a Generative Adversarial Network (GAN) to generate inspirational images for the students to use as inspiration for their designs. The students were divided into teams and were asked to select relevant images generated by AI and use them to come up with various ideas. They were also prompted to engage in a “Quick & Dirty Sketch Session” to be creative and unrestricted in their designs. After the workshop, participants completed a survey to provide feedback on their experience of using AI in the design process, and the survey aimed to gather information on the workshop experience, the methods and tools used, as well as the participants’ satisfaction level and overall effectiveness of using the AI tool in the furniture design process. The paper presents the results of the study and delves into several key areas, including the re-definition of idea sketching, the significance of providing a transparent design process, and the ethical considerations associated with the utilization of AI in design fields.

Year: 2023