Batley, A. and Glithro, R., 2024. Exploring the Synergy of AI Generative Fill in Photoshop and the Creative Design Process utilising informal learning. In: E&PDE 2024: 26th International Conference on Engineering & Product Design Education, 04-06 Sept 2026, Birmingham, UK. (In Press)
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Official URL: https://epde.info/2024/
Abstract
This paper examines the emerging use of AI generative fill techniques in Adobe Photoshop (software, Adobe Inc, California, United States) coupled with informal learning situations, to enhance the creation of product posters for design exhibitions. By leveraging the capabilities of AI, designers can streamline their creative workflows, allowing for more efficient and innovative design outcomes [1]. The aim of this paper is to examine the benefits of Photoshop’s AI generative fill in comparison to traditional manual methods for new graduates exhibiting at their first design show (New Designers, London), and to gauge the influence of informal learning settings in supporting designers’ adoption of AI-driven design techniques. The findings of this research demonstrate a paradigm shift in the creative process, as AI generative fill in Photoshop emerges as a powerful tool for designers seeking efficiency, inspiration, and novel artistic directions. The findings also show how informal learning settings have played a vital role in nurturing new designers’ adoption of AI-driven design techniques.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | AI;Photoshop Generative Fill;Design Education |
Group: | Faculty of Science & Technology |
ID Code: | 39759 |
Deposited By: | Symplectic RT2 |
Deposited On: | 30 Apr 2024 13:32 |
Last Modified: | 07 Sep 2024 01:08 |
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