Generative AI-assisted Product Innovation Design Framework Incorporating FBS

ZONG Wei; BAI Tingjun; TIAN Xiaoxia; YAO Jun

doi:10.19554/j.cnki.1001-3563.2025.14.005

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (14) : 46-57. DOI: 10.19554/j.cnki.1001-3563.2025.14.005

Industrial Design

Generative AI-assisted Product Innovation Design Framework Incorporating FBS

ZONG Wei, BAI Tingjun^*, TIAN Xiaoxia, YAO Jun

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Abstract

The work aims to deeply integrate Generative Artificial Intelligence (GenAI) with the Function-Behavior- Structure (FBS) model to construct an product innovation design framework, so as to fill the gap in GenAI-assisted design in terms of function-structure constraints, enhance designers' interdisciplinary research capabilities, and improve the efficiency and rationality of innovation. Theory-driven analysis and case studies were combined. The FBS model was extended, GenAI's effectiveness in design tasks was analyzed, and relevant foundational research findings were incorporated to build the framework. Case analyses demonstrated that the framework could clearly guide designers in utilizing GenAI to achieve innovative designs, significantly reducing design time while optimizing both product functionality and structure. Ultimately, this framework not only boosts designers' innovation capacities and design efficiency but also markedly enhances the functional and structural rationality of products.

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Generative Artificial Intelligence (GenAI) / Artificial Intelligence (AI)-assisted design / product innovation design / Function-Behavior-Structure (FBS) model / design framework

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ZONG Wei, BAI Tingjun, TIAN Xiaoxia, YAO Jun. Generative AI-assisted Product Innovation Design Framework Incorporating FBS[J]. Packaging Engineering. 2025, 46(14): 46-57 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.005

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