| 摘要: |
| 目的 研究灰色关联分析法在互联网产品用户体验度量中的有效性，为互联网产品用户体验提供新的度量方法。方法 以现有用户体验评估问卷为基础，明确互联网产品用户体验六维度，将吸引力维度作为参考序列，其他5个维度作为对比序列，通过问卷调查收集各个序列数据，建立互联网产品用户体验灰色模型，利用灰色关联分析法计算各对比序列与参考序列的关联度，根据关联度大小排序对各个体验维度的重要性做出定量分析，确立互联网产品用户体验灰色分析流程,最后以互联网产品Tamumu用户体验度量为例，开展实验研究并进行结果验证。结论 灰色关联分析运用于互联网产品用户体验研究中，能够准确地辨别用户体验各维度的重要性，为产品用户体验设计提供策略指导。 |
| 关键词: 用户体验 灰色关联分析 互联网产品 |
| DOI：10.19554/j.cnki.1001-3563.2018.24.026 |
| 分类号:TB472 |
| 基金项目:中国人类工效学学会——津发科技优秀青年学者联合研究基金（CES-KF-2016-2018）；中国地质大学（武汉）实验室与设备管理处“2016年实验技术研究项目”（SJ-201631） |
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| Measurement Method of Internet Product User Experience Based on Gray Correlation Analysis |
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WANG Zhong, GAO Fang, WANG Xi-yang, FANG Hao
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China University of Geosciences, Wuhan 430074, China
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| Abstract: |
| The work aims to study the effectiveness of gray correlation analysis in the measurement of Internet product user experience, and provide a new method for the measurement of Internet product user experience. Based on the existing user experience assessment questionnaire, the six dimensions of user experience of Internet products were clarified. The attractive dimension was used as the reference sequence, and the other five dimensions were used as the comparison sequence. Each se-quence’s data were collected through questionnaire survey to establish a gray model of user experience of Internet products. The gray correlation analysis method was used to calculate the correlation degree between each comparison sequence and the reference sequence. The importance of each experience dimension was quantitatively analyzed according to the correlation degree. The gray analysis process of user experience of Internet products was established. Finally, taking the user experience measurement of Internet product Tamumu as an example, the experimental research was carried out and the results were verified. Gray correlation analysis is applied in the study on user experience of Internet products, which can accurately identify the importance of each dimension of user experience and provide strategic guidance for product user experience design. |
| Key words: user experience gray correlation analysis Internet product |
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