在共享经济中模拟用户关注:食品配送应用程序的案例
Grant Williams1, Miroslav Tushev1, Fahimeh Ebrahimi1
1Microsoft, Redmond, WA 98052 USA.
概括
由于用户的担忧,共享经济应用程序面临着挑战. 这项研究分析了食品配送应用的反,以确定用户需求,并提出了一种自动化方法来帮助开发人员改善用户体验和市场成功.
科学领域:
- 数字经济数字经济
- 人与计算机的交互
- 服务创新服务创新
背景情况:
- 共享经济应用 (如Uber,Airbnb) 已经显著增长,促进了经济发展和社会资本.
- 这些平台往往因为复杂的操作环境和了解用户担忧的不充分方法而扎.
- 有效的用户反分析对于共享经济应用程序的生存和成功至关重要.
研究的目的:
- 调查共享经济应用生态系统中的用户担忧,重点关注食品配送服务.
- 开发和评估一个自动化程序,用群众反来建模用户关注点.
- 为开发人员提供可操作的指导方针,以提高用户体验和市场竞争力.
主要方法:
- 从Twitter和应用商店评论中对用户反进行定性分析.
- 专注于食品配送应用生态系统的案例研究.
- 建议用于关注建模的自动化程序的内在评估.
主要成果:
- 确定了食品配送应用生态系统中的关键用户问题.
- 证明了自动化方法合成用户反的可行性.
- 提供了对共享经济平台用户需求的基本理解.
结论:
- 了解和解决用户关切对于共享经济应用成功至关重要.
- 群众反的自动化分析为识别用户需求提供了一个可扩展的解决方案.
- 这项研究为开发人员提供了优化应用程序性能和用户满意度的途径.
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