Abstract
In the collaborative design process, diverse stakeholder backgrounds often introduce inefficiencies in collaboration, such as delays in design delivery and decreased creativity, primarily due to misunderstandings and communication barriers caused by this diversity. To respond, this study proposes an AI-augmented Multimodal Collaborative Design (AI-MCD) framework. This framework utilizes Large Language Models (LLM) to establish an iterative prompting mechanism that provides professional design prompts for Generative AI (GAI) to generate precise visual schemes. On this basis, the GAI cooperates with Mixed Reality (MR) technology to form an interactive and immersive environment for enabling full participation in the design process. By integrating these technologies, the study aims to help stakeholders form a unified cognition and optimize the traditional collaborative design process. Through a case study involving the development of heart education products for children, the effectiveness of the framework is emphasized, and the practical application and effectiveness of the proposed method innovation are demonstrated.
Original language | English |
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Pages (from-to) | 703-715 |
Number of pages | 13 |
Journal | Journal of Manufacturing Systems |
Volume | 74 |
DOIs | |
Publication status | Published - Jun 2024 |
Keywords
- Collaborative design
- Generative artificial intelligence
- Large language model
- Mixed reality
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Hardware and Architecture
- Industrial and Manufacturing Engineering