Construction and Evaluation of an AIGC-assisted Product Design Process Based on the FBS Model

AI Xianfeng; HAO Zuqing; WANG Cailian

doi:10.19554/j.cnki.1001-3563.2026.06.015

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (6) : 160-168. DOI: 10.19554/j.cnki.1001-3563.2026.06.015

Industrial Design

Construction and Evaluation of an AIGC-assisted Product Design Process Based on the FBS Model

AI Xianfeng^*, HAO Zuqing, WANG Cailian

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Abstract

The work aims to introduce the "Function-Behavior-Structure (FBS)" model to collaboratively improve the conceptual design process with AIGC, to guide AI in generating higher-quality design solutions to address the issues of structural disorganization and lack of feasibility in AIGC product design proposals. Firstly, the main characteristics and existing problems of current AIGC applications in product conceptual design processes were analyzed. Secondly, a collaborative product design process based on FBS and AIGC was constructed, comprising five key stages of "need extraction, mapping relationship construction, creative generation, detail refinement, and design presentation". The operability of this process was demonstrated using the design of elderly mobility scooters as a case study. Finally, to validate the impact of this process on design outcomes, an appearance design task for a smart handheld POS machine was assigned. Twenty design students of comparable skill levels were arranged to participate in two consecutive design experiments. The influence of using the FBS model-based AIGC-assisted design process on design outputs was analyzed. Expert evaluations scored the two sets of designs across five criteria: structural rationality, aesthetic appeal, innovativeness, user need fit, and commercial value. Paired samples t-tests were employed to compare differences in each criterion. The intervention of the FBS model led to an overall improvement in design output performance, with significant enhancements observed in structural rationality and aesthetic appeal. However, product innovativeness was somewhat constrained. In conclusion, the FBS model-based AIGC-assisted product design process can effectively control excessive AI divergence, enhance the overall feasibility of product design proposals, and offers a new pathway for the application of AIGC in product design.

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AIGC / FBS / product conceptual design / assisted design workflow

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AI Xianfeng, HAO Zuqing, WANG Cailian. Construction and Evaluation of an AIGC-assisted Product Design Process Based on the FBS Model[J]. Packaging Engineering. 2026, 47(6): 160-168 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.015

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