针对软体家具领域的AIGC辅助设计路径优化研究  

Optimization of AI-assisted Design Process in the Field of Soft Furniture Design

作　　者：汪皓 李雪莲[1] Wang Hao;Li Xuelian

机构地区：[1]浙江理工大学艺术设计学院,浙江杭州311199

出　　处：《家具与室内装饰》2024年第6期56-61,共6页Furniture & Interior Design

基　　金：浙江省健康智慧厨房系统集成重点实验室(2014E1004);2023浙江理工大学-顾家智能时尚家居实践基地项目;全英文课程建设项目-时尚家居与品牌管理项目(QYWKC2201)。

摘　　要：软体家具企业的扩大带来了设计需求量的爆发式增长,设计师工作量巨大,目前急需对现有工作流进行优化,而AIGC的爆发式发展为其带来了可能性。但软体家具设计和传统工业设计又有着极大的差异性,因此常规AIGC辅助设计路径需要针对软体家具设计领域进行配对性优化。研究凝练了三大常规AIGC辅助设计路径,并基于焦点小组实验及扎根理论对常规AIGC路径进行了优化,最后基于优化后路径搭建了功能原型,并通过实验验证了优化路径的有效性。优化后路径在可控性、帮助性、方案质量方面均优于优化前,差异具有统计学意义(P<0.05)。The soft furniture industry's expansion has led to a surge in design demands,imposing a heavy workload on designers.Urgent workflow optimization is imperative.The rapid advancement of Artificial Intelligence in Graphic Computing(AIGC)offers potential.However,soft furniture design deviates significantly from traditional industrial design,necessitating tailored optimization of standard AIGC-assisted design approaches.This study distilled three such approaches and,through focused group experiments and grounded theory,customized the AIGC pathway for soft furniture design.A functional prototype,based on the optimized pathway,was constructed and experimentally validated for its efficacy.The optimized pathway outperformed the original in controllability,assistance,and solution quality,with statistically significant disparities(P<0.05).

关 键 词：AIGC 软体家具 设计流程 沙发部件 

分 类 号：TS664.1[轻工技术与工程]