Attractiveness factors of the use of retro products to young people: A mixed-method approach with user experience analysis

IF 2.5 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Toshihisa Doi , Minori Murata , Aoi Nagata
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引用次数: 0

Abstract

This study adopted a mixed-method approach to identify attractiveness factors from multiple perspectives. First, a qualitative survey (Survey 1) was performed to obtain the hypothesis factors of three retro products by analyzing user experiences using the UX curve method and the KJ method. From these results, nine categories were extracted as hypothesized factors that create attractiveness in the use of retro products. Second, a quantitative web-based questionnaire (Survey 2) was conducted to verify the hypothesized factors. The questionnaire items were created based on the nine hypothesized factors extracted from Survey 1. Next, a five-factor model of the attractiveness of retro products was extracted through factor analysis of the results from Survey 2. The five factors are: “excitement,” “attractiveness due to time and effort,” “instinctive attractiveness,” “attractiveness due to inconvenience,” and “novelty. Finally, multiple regression analysis was performed, which revealed that "attractiveness due to time and effort,” “instinctive attractiveness,” “attractiveness due to inconvenience,” and “novelty. Finally, multiple regression analysis was performed, which revealed that "attractiveness due to time and effort" and "instinctive attractiveness" have the greatest impact on the attractiveness of retro products.
年轻人使用复古产品的吸引力因素:用户体验分析的混合方法
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来源期刊
International Journal of Industrial Ergonomics
International Journal of Industrial Ergonomics 工程技术-工程:工业
CiteScore
6.40
自引率
12.90%
发文量
110
审稿时长
56 days
期刊介绍: The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
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