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作 者:符思捷 宛瑞莹 熊先青 Fu Sijie;Wan Ruiying;Xiong Xianqing
机构地区:[1]南京林业大学家居与工业设计学院,江苏南京210037 [2]南京林业大学林业资源高效加工利用协同创新中心,江苏南京210037
出 处:《家具与室内装饰》2023年第11期34-39,共6页Furniture & Interior Design
基 金:“十三五”国家重点研发计划项目(2018YFD0600304)。
摘 要:为促进现代侘寂风家具设计与我国本土文化融合创新,进一步扩宽国内市场,且契合用户需求;同时为了解决当前从客厅单体家具上升到整体家具设计方案评价方面的空缺问题。通过对网购平台50件高销量的现代侘寂风家具进行市场调研、收集15件中国唐代传统设计参照样本、网络收集105份用户需求问卷调研,生成了10件侘寂风客厅单体家具创新设计方案;以感性工学的语义分析评价方法为基础,获取用户对单体家具方案的感性评价数据,借助SPSS软件对评价问卷进行信效度分析和样本聚类分析,验证了设计方案风格一致且与用户需求相关有效。根据排列组合,在32种整体方案中量化分析得到最契合用户需求的侘寂风客厅整体家具创新设计方案。本研究结论得出,使用感性工学的语义分析法能够较好地对家具设计方案进行量化分析与评价,并为单体家具设计方案到家具整体方案分析、评价、决策提供参考。The paper aims to promote the fusion and innovation of modern Wabi-sabi style furniture design with China's local culture,further expand the domestic market,meet user needs,and,at the same time,address the current lack of evaluation in rising from individual living room furniture to holistic furniture design solutions.Through market research on 50 pieces of modern wabi-sabi style furniture with high sales volume on online shopping platforms,the collection of 15 samples of traditional design elements of China's Tang Dynasty,and the collection of 105 questionnaires of users'needs on the Internet,10 innovative design solutions for wabi-sabi style living room monolithic furniture were generated as a result of the results.Based on the semantic analysis of the evaluation method of perceptual engineering,we obtained the user's perceptual evaluation data for the monolithic furniture solutions and evaluated the reliability and validity of the evaluation questionnaires by means of the SPSS software.The evaluation questionnaire was analyzed for reliability and validity,and sample clustering analysis was performed with the help of SPSS software to verify that the design solutions are consistent in style and relevant to users'needs.Through the permutation and combination methods,the results of the study quantitatively analyzed the wabi-sabi-style living room furniture innovation design solutions that best fit users'needs among the 32 overall solutions.The results of this study proved that the use of semantic analysis in perceptual engineering can improve the quantitative analysis and evaluation of furniture design solutions and provide a reference for the analysis,evaluation,and decision-making from the single furniture design solutions to the overall furniture solutions.
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