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LLM方面级情感分析驱动的运动健康App用户满意度影响因素研究
Research on the Factors Influencing User Satisfaction of Fitness Apps Driven by LLM-based Aspect-level Sentiment Analysis
【摘要】 [目的/意义]旨在量化评论用户各功能维度情感体验对整体满意度的边际贡献,探究维度间交互效应,为App精细化运营与用户体验优化提供科学依据。[方法/过程]从Keep、咕咚、华为运动健康、小米运动健康的用户评论中提取方面级特征并整合为功能维度框架,通过情感极性和强度分类得到LLM情感量化指标,构建包含App和时间双向固定效应的有序Logistic回归模型。[结果/结论]“运动健身功能实现”“数据记录与统计分析”“可用性与用户体验”“监督激励与社交价值”和“商业化与服务支持”五个维度的用户情感体验能较好解释整体满意度。运动健康App在资源配置上应该遵循从保障核心功能与体验,到放大社交激励价值,再到谨慎商业化探索的战略路径。
【Abstract】 [Purpose/significance] This study aims to quantify the marginal contribution of users’ emotional experiences across various functional dimensions to their overall satisfaction,investigate interaction effects among these dimensions,and provide a scientific basis for the refined operation and user experience optimization of these Apps.[Method/process] First,aspect-level features are extracted from user reviews on Keep,Codoon,Huawei Health and Mi Fitness,and integrated into a functional dimension framework. Then,LLM sentiment metrics are quantified through sentiment polarity and intensity classification. Finally,an ordered logistic regression model,incorporating two-way fixed effects for both App and time,is constructed. [Result/conclusion]User sentiment across five dimensions—“Exercise and Fitness Functionality”,“Data Recording and Statistical Analysis”,“Usability and User Experience”,“Supervision,Motivation and Social Value”,and“Commercialization and Service Support”—effectively explain overall satisfaction. The strategic path for resource allocation in fitness Apps should prioritize ensuring core functionality and a positive user experience,then amplify the value of social motivation,and finally explore commercialization cautiously.
【Key words】 fitness App; user satisfaction; aspect-level sentiment analysis; LLM; ordered logistic regression;
- 【文献出处】 情报探索 ,Information Research , 编辑部邮箱 ,2026年06期
- 【分类号】TP18;G252
- 【下载频次】62