文章摘要
胡珊,周明煜.基于PCA分析法的城市导识系统设计[J].包装工程,2019,40(12):97-102.
基于PCA分析法的城市导识系统设计
City Guide System Based on PCA Analysis
投稿时间:2019-01-12  修订日期:2019-06-20
DOI:10.19554/j.cnki.1001-3563.2019.12.017
中文关键词: 用户体验  量化模型  城市导识  设计策略
英文关键词: user experience  quantitative model  city guide  design strategy
基金项目:文化部国家社科基金艺术学青年项目([2015]15CG147)
作者单位
胡珊 湖北工业大学武汉 430068 
周明煜 湖北工业大学武汉 430068 
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中文摘要:
      目的 导识设计应该关注城市空间中的叙事性和参与者的体验感,顺应城市的发展形态,从用户的角度出发,构建城市导识系统的用户体验量化模型,并提出设计方案。方法 通过半结构化的一对一访谈与现有案例分析,明确用户定位、用户需求与用户体验要素。通过文献分析法,结合用户体验蜂窝模型、用户体验5E模型与情感化交互设计模型,提取系统量化模型的6个维度与18个影响因子。采用PCA分析法,结合SPSS数据分析软件确定量化模型权重,构建量化模型,并提出设计策略。结论 构建城市导识系统的用户体验量化模型,结合量化模型,依据用户体验的优先程度来制定设计策略。通过量化分析的方法,总结城市导识系统的用户体验量化模型,为此方向的研究提供参考模型与理论依据,并对未来的研究方向进行展望。
英文摘要:
      The design of guide system should focus on the narrative nature of the urban space and the experience sense of participants. In accordance with the future development of the city, the paper aims to construct a quantitative model of user experience of urban guide system from the perspective of user and propose a design scheme. The positioning, requirements and experience elements of user were identified through semi-structured one-to-one interviews and existing case studies. The literature analysis method was used in combination with the user experience cellular model, user experience 5E model and emotional interaction design model to extract the six dimensions and 18 impact factors of the system quantification model; the PCA analysis method was used in combination with SPSS data analysis software to determine the weights of the quantitative model, build a quantitative model and propose a design strategy. A quantified user experience model for urban guidance systems is constructed. A design strategy based on the priority of user experience is developed in combination with the quantitative model. Through quantitative analysis, the quantification model on user experience of city guide system is summarized, which provides a reference model and theoretical basis for research in this direction, and prospects future research directions.
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