| 李成杰,李露.运动APP用户体验结构研究[J].包装工程,2020,41(8):128-133. |
| 运动APP用户体验结构研究 |
| Sports APP User Experience Structure |
| 投稿时间：2020-02-01 修订日期：2020-04-20 |
| DOI：10.19554/j.cnki.1001-3563.2020.08.017 |
| 中文关键词: 用户体验 运动APP 因子分析 结构方程 |
| 英文关键词: user experience sports APP factor analysis structural equation |
| 基金项目:中国民用航空飞行学院面上项目（XM3406）；四川省哲学社会科学重点研究基地心理健康教育研究项目（XLJKJY1836C）；中国民用航空飞行学院2019年中央高校教育教学改革专项（E20180214） |
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| 中文摘要: |
| 目的 随着现代科技的不断发展，人们的运动方式和内容在“日常生活媒介化”背景下正悄然变化。基于用户体验视角，探析运动APP产品感受对提升APP功能品质和改善用户锻炼行为尤为重要。方法 通过访谈法、探索性和验证性因素分析方法，对使用运动APP参加锻炼496名大学生进行用户体验维度实证研究。结论 制定了《运动APP用户体验量表》，经检验具有较好的信效度，可作为测量运动APP用户体验的工具。运动APP开发不仅应包含浏览记录、目标设置基本要素，也应注重其用户心理因素的构建。通过对运动过程中用户体验数据的挖掘，将用户跑过的线路、最佳运动记录、燃烧的卡路里等个性化信息进行整理予以展示，将有助于用户对运动场景的理解，强化用户的参与动机，加深用户对运动的理性认知，提高用户行为改变的可能性。 |
| 英文摘要: |
| With the development of modern science and technology, people’s sports style and content are changing quietly in the context of “mediation of daily life”. The work aims to carry out an important analysis on the experience of improving the functional quality of APP and the exercise behavior of users with sports APP from the perspective of user experience. An empirical research was conducted on user experience dimension with 496 college students who exercised with sports APP, by means of interviews and exploratory and confirmatory factor analysis. The “Sports APP User Experience Scale” is formulated, which has been tested to be reliable and valid, and can be used as a tool for measuring the user experience of the sports APP. The development of sports APP should not only emphasize browsing records and basic elements of goal setting, but also the construction of user’s psychological factors. The personalized information such as the line taken by the user, the best exercise log and the burned calories etc. is sorted out and displayed by digging the user experience data during the exercise. This will help the users to understand the sports scene, strengthen their motivation to participate, deepen their rational cognition of sports and improve the possibility of changes in user behavior. |
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