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Exploring the Impact of Generative AI on Concept Generation, Ideation, and Design Methodology: in Product Design Education.

Reynolds, T. and Batley, A., 2024. Exploring the Impact of Generative AI on Concept Generation, Ideation, and Design Methodology: in Product Design Education. In: E&PDE 2024: 26th International Conference on Engineering & Product Design Education, 04-06 Sept 2026, Birmingham, UK. (In Press)

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Abstract

This paper presents an investigation into the utilisation of generative artificial intelligence (AI) by product design students in the concept generation, ideation, and design methodology of their final year major project. With AI’s growing presence in the design field, its impact on the education of future designers requires investigation. This research aims to highlight the advantages and disadvantages associated with incorporating certain generative AI tools into the curricula of product design students. The study involves an in-depth analysis of how generative AI could be integrated into the design education process. It explores the extent to which AI-driven tools are employed by students to generate, refine, and iterate design concepts, and how it impacts their design methodology processes. By appraising and analysing the outcomes from AI creative design workshops and conducting surveys with final year product design students, this research sets out to determine the practical applications of generative AI in our future designers. By investigating the advantages and disadvantages, it equips educators and students with valuable knowledge to harness the full potential of AI in their design journeys. This paper contributes to the ongoing conversation on AI’s role in design education, paving the way for informed pedagogical decisions and the education of future designers who can leverage AI as a powerful creative tool.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Generative AI; Design Process; Design Methods; Ideation; Concept Generation
Group:Faculty of Science & Technology
ID Code:39875
Deposited By: Symplectic RT2
Deposited On:07 Jun 2024 12:30
Last Modified:07 Sep 2024 01:08

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