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Developing the index for product design communication and evaluation from emotional perspectives

机译:从情感角度制定产品设计交流和评估指标

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摘要

Often customers make their purchase decision based on price, quality and functionality of the product. Sometimes the decision is influenced by the perceived value, which is always subjective and emotion-driven. In order to ensure successful launch of a product, it is extremely important to predict the perceived value of design alternatives systematically based on the common language understood by both target users and designers. However, the index for communicating and evaluating such value from emotional perspective is not available in the literature. Therefore, the objective of this research is to extract key indexes of perceived value from emotional perspectives and develop an effective algorithm to evaluate products. First, through literature review and the interview of participants, many scenarios of purchase decision were collected. A focus group was invited to identify the essential elements that influence the perceived value of products. Followed by a large scale questionnaire survey and factor analysis, four indexes were extracted. These indexes, named as FASE Index in brief, included features, association, social-esteem, and engagement. Second, by combining the fuzzy mathematics and the pairwise comparison method, an evaluation model was developed. Third, the perception differences of sample products were conducted to verify the validity of FASE index. The findings of this study demonstrated that FASE index was effective for decision making in product design.
机译:通常,客户会根据产品的价格,质量和功能来做出购买决定。有时,决策会受到感知价值的影响,感知价值始终是主观的并且是情感驱动的。为了确保产品成功发布,基于目标用户和设计人员都理解的通用语言,系统地预测设计替代方案的感知价值非常重要。但是,从情感角度来传达和评估这种价值的指标在文献中不存在。因此,本研究的目的是从情感角度提取感知价值的关键指标,并开发一种有效的产品评估算法。首先,通过文献回顾和参与者访谈,收集了许多购买决策场景。邀请了一个焦点小组来确定影响产品感知价值的基本要素。随后进行大规模问卷调查和因素分析,提取了四个指标。这些索引简称为FASE索引,包括功能,关联性,社会自尊心和参与度。其次,结合模糊数学和成对比较法,建立了评价模型。第三,通过样本产品的感知差异来验证FASE指数的有效性。这项研究的结果表明,FASE指数对于产品设计的决策是有效的。

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