| 摘要: |
| 目的 为解决用户诉求表述模糊所导致的需求获取不足、设计决策复杂难定等问题对适老化产品及应用服务推广的阻碍，最大程度提升用户体验满意度，提出一种用户集群评价驱动的短周期、高效率的感性设计方法。方法 引入评价信息对目标用户集群的需求进行精准而真实地深层挖掘，结合TextRank算法量化感性描述文本，构建评价指标体系;充分借助犹豫模糊决策算法构建方案评价模型(I-HFCJM)，计算各产品评价指标得分函数值对样本产品优劣予以可视化分析，以现有产品的可借鉴点与注意问题为依据指导产品改进设计。结论 以老年家用制氧机改进设计为例，计算改进方案同样本产品的综合权重并进行优劣排序，验证了该方法的有效性，为老年家用制氧机及其他适老化产品设计开发提供了改进策略。 |
| 关键词: 产品设计 用户集群 TextRank 犹豫模糊决策算法 I-HFCJM模型 |
| DOI：10.19554/j.cnki.1001-3563.2022.16.020 |
| 分类号:TB472 |
| 基金项目:山东省专业学位研究生教学案例库建设项目(SDYAL20058);山东省2018年研究生导师指导能力提升项目(SDYY18082);齐鲁乡村文化旅游平台化服务体系研究(21DWYJ13) |
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| Optimizing Strategies for Aging Products Driven by User Clusters |
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YANG Mei, WANG Yi-yan, LI Xue-rui, HOU Xing-gang
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(School of Arts, Shandong University of Science and Technology, Shandong Qingdao 266590, China)
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| Abstract: |
| This paper aims to solve the problem of demand caused by vague user appeal expressions and of the complexity of its design decision complexity to adapt to the adaptive product and application service promotion, and the user experience satisfaction is improved to a large extent. This paper proposes an inductive design method for user cluster evaluation drivers with short period of time and high efficiency. First, this essay excavates the needs of the target user cluster from the evaluation information, and combines the TextRank algorithm to describe the text to build up the evaluation index system; furthermore, this thesis makes full use of hesitative fuzzy decision-making algorithm to evaluate the evaluation model (I-HFCJM ), calculate each product evaluation index score function value for sample products, visualization analysis, and guide the product improvement design through existing products. This paper uses the elderly household oxygen generator improvement design as an example, by calculating the comprehensive weight of the improvement plan and the sample product, and sorting, the effectiveness of this method is verified, providing the improved strategy for design and development of the older household oxygen generator and other suitable age production products. |
| Key words: product design user evaluation TextRank hesitant fuzzy decision-making algorithm I-HFCJM |
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