Work

Design creativity in AI: Using the SCAMPER method

Year: 2025

Type: article

Abstract: The rise of generative artificial intelligences (AIs) has quickly made them auxiliary tools in numerous fields, especially in the creative one. Many scientific works already discuss the comparison of the creative capacity of AIs with human beings. In the field of Engineering Design, however, numerous design methodologies have been developed that enhance the creativity of the designer in their idea generation phase. Therefore, this work aims to expand previous works by leading a Generative Pre-trained Transformer 4 (GPT-4) based generative AI to use a design methodology to generate creative concepts. The results suggest that these types of tools can be useful for designers in that they can inspire novel ideas, but they still lack the necessary capacity to discern technically feasible ideas.

Source: Artificial intelligence for engineering design analysis and manufacturing

DOI: 10.1017/s0890060425100036

Authors: Vicente Chulvi, Laura Ruiz-Pastor, Marta Royo, Carlos García-García

Institution: Universitat Jaume I

Language: English

Topic: Design Education and Practice

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,550