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Empowering design innovation using AI-generated content

  • Jian Jin
  • , Mingyue Yang
  • , Huicong Hu
  • , Xin Guo
  • , Jianxi Luo
  • , Ying LIu*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › Editorial Preface

Abstract

Innovation in design is increasingly crucial to satisfy the growing demand for user-centric products and mitigate the effects caused by design uncertainties. Recently, the integration of AI technologies into product design processes has ignited unprecedented opportunities for design innovation, offering novel opportunities to augment processes and enhance design outcomes. AI-generated content (AIGC) represents emerging AI technologies that can efficiently generate quality design data across various modalities such as texts, images, audio, video and simulated sensor data. With such technology, designers are enabled to simplify and expedite the design process while ensuring the creation and production of high-quality design objects. This study aims to report the role of state-of-the-art AIGC technologies, how they will drive design innovation and identify their promising future applications. It delves into the vision, challenges, and opportunities presented by AIGC technologies, offering insights to inspire further research agenda. By leveraging various AIGC technologies, designers can unlock new avenues for creativity and productivity, ultimately shaping the future of design innovation. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalJournal of Engineering Design
Volume36
Issue number1
Online published13 Sept 2024
DOIs
Publication statusPublished - Jan 2025

Research Keywords

  • Design
  • Innovation
  • AIGC
  • AI-generatedcontent
  • Data-driven

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