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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Inspiration or indication? Evaluating the qualities of design inspiration boards created using text to image generative AI

Charlie Ranscombe (1), Linus Tan (1), Mark Goudswaard (2), Chris Snider (2)

Type:
Papers
DS 129: Proceedings of the DESIGN2024 18th International Design Conference
Year:
2024
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović, Neven Pavković, Marija Majda Škec
Author:
Charlie Ranscombe (1), Linus Tan (1), Mark Goudswaard (2), Chris Snider (2)
Series:
DESIGN
Institution:
1: Swinburne University of Technology, Australia; 2: University of Bristol, United Kingdom
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
2207-2216
DOI number:
10.1017/pds.2024.223
ISSN:
2732-527X (Online)
Abstract:
This study explores the application of image generative AI to support design process by creating inspiration boards. Through an evaluative study, we compare the diversity, quantity, fidelity, and ambiguity of boards generated by image generative AI and traditional methods. The results highlight how generative AI produces a quantity of images, it exhibits limited diversity compared to traditional methods. This suggests a tendency for supporting interpolation rather than extrapolation of ideas, in turn providing insights on best practice and into the optimal stage for its application.
Keywords:
inspiration boards, artificial intelligence (AI), design creativity, 10-Industrial Design, visualisation
18th International Design Conference (DESIGN 2024)
Conferences

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