A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing DOI
K.B. Mustapha

Advanced Engineering Informatics, Год журнала: 2024, Номер 64, С. 103066 - 103066

Опубликована: Дек. 27, 2024

Язык: Английский

Empowering design innovation using AI-generated content DOI
Jian Jin, Mingyue Yang,

Huicong Hu

и другие.

Journal of Engineering Design, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

8
Generative AI-enhanced human-AI collaborative conceptual design: A systematic literature review DOI
Cong Fang, Yujie Zhu, Le Fang

и другие.

Design Studies, Год журнала: 2025, Номер 97, С. 101300 - 101300

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

1
Agile conceptual design and validation based on multi-source product data and large language models: a review, framework, and outlook DOI
Shijiang Li, Xingwei Zhou, Ying Liu

и другие.

Journal of Engineering Design, Год журнала: 2025, Номер unknown, С. 1 - 31

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

0
AskNatureGPT: an LLM-driven concept generation method based on bio-inspired design knowledge DOI Creative Commons
Liuqing Chen, Zebin Cai,

Wengteng Cheang

и другие.

Journal of Engineering Design, Год журнала: 2025, Номер unknown, С. 1 - 35

Опубликована: Апрель 2, 2025

Язык: Английский

Процитировано

0
How generative AI supports human in conceptual design DOI Creative Commons
Liuqing Chen, Yaxuan Song, Guo Jia

и другие.

Design Science, Год журнала: 2025, Номер 11

Опубликована: Янв. 1, 2025

Abstract Generative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, has been actively studied in creative design processes. However, limited studies have explored the roles humans conceptual processes, which leaves gap for human–AI collaboration investigation. To address this gap, study attempts to uncover contributions different assisting process. Novice designers were recruited complete two tasks condition with or without assistance AI. The results revealed primarily assists problem definition idea generation stages, while selection evaluation stage remains predominantly human-led. Additionally, AI, stages further enhanced. Based on findings, we discussed role implications enhancing future support AI’s assistance.

Язык: Английский

Процитировано

0
MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI DOI

Yunnong Chen,

Shuhong Xiao, Yaxuan Song

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0
A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing DOI
K.B. Mustapha

Advanced Engineering Informatics, Год журнала: 2024, Номер 64, С. 103066 - 103066

Опубликована: Дек. 27, 2024

Язык: Английский

Процитировано

2