Generative AI-enhanced human-AI collaborative conceptual design: A systematic literature review

Cong Fang, Yujie Zhu, Le Fang, Yonghao Long, Huan Lin, Yangfan Cong, Stephen Jia Wang (Corresponding Author)

Research output: Journal article publicationReview articleAcademic researchpeer-review

Abstract

Generative Artificial Intelligence (GenAI) has gained increasing attention, enhancing design productivity by elevating creativity within the conceptual design process. Despite these advancements, how GenAI will influence the conceptual design process and methods remains ambiguous, hindering its full potential. This study introduces a systematic literature review to explore GenAI's role in the conceptual design process, emphasizing the GenAI-human interactions and collaborations. We offer a critical evaluation of the current state of GenAI-human collaboration, identifying challenges, opportunities, and future research directions to leverage GenAI's design potential for enhancing creativity in conceptual design practice. Finally, a Generative AI Enhanced Conceptual Design framework was further proposed to clarify the potential collaborative design process, which can serve as a guideline for effective human-AI collaboration in the conceptual design process.

Original languageEnglish
Article number101300
JournalDesign Studies
Volume97
DOIs
Publication statusPublished - Mar 2025

Keywords

  • AI-enhanced design
  • Conceptual design
  • Design methodology
  • Design process
  • Human-AI collaboration

ASJC Scopus subject areas

  • Architecture
  • Arts and Humanities (miscellaneous)
  • General Engineering
  • General Social Sciences
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Generative AI-enhanced human-AI collaborative conceptual design: A systematic literature review'. Together they form a unique fingerprint.

Cite this