AI-led design innovation: Understanding design-centric AI methods and assistance types

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

With recent advancements in data-driven methods, there has been a growing interest in implementing AI in design. Despite this, a comprehensive understanding of the critical AI methods in design and how they support design practices remains lacking. To deepen our understanding, we conduct a comprehensive literature review and propose a novel, design-centric AI typology, associated with six AI assistance types for product service development. Our typology differs from traditional ones by shifting the focus from an algorithmic perspective to how models support design practice. Key findings highlight how these six design-centric AI methods support design practices in different ways, each with its own application challenges. Establishing a shared design-centric AI typology and assistance framework will enhance the understanding of how AI works differently and supports practitioners.

Cite

CITATION STYLE

APA

Lee, B., & Kim, J. (2025). AI-led design innovation: Understanding design-centric AI methods and assistance types. In Proceedings of the Design Society (Vol. 5, pp. 469–478). Cambridge University Press. https://doi.org/10.1017/pds.2025.10061

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free