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P2 Government Mobile Apps: Analysing Citizen Feedback via App Reviews

政府移动应用:通过应用评论分析公民反馈
ASE 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)2023匹配度 0/10 · 该论文属于移动政府应用评论挖掘与电子政务反馈分析,与静态分析、LLM/Agent、浮点程序分析、贝叶斯程序分析等研究方向均无直接关联。其方法和主题不涉及编程语言、程序分析或形式化验证。引用 6 inbox
Tooba Aamir, Mohan Baruwal Chhetri, M.A.P. Chamikara, Marthie Grobler
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:分析澳大利亚129个政府移动应用的100,146条评论,验证应用评论可作为公民数字服务反馈渠道。

本文探讨将移动应用评论作为政府数字服务公民反馈来源的可行性。作者收集并分析澳大利亚129个政府移动应用的100,146条评论,识别出多项功能与可用性问题,包括应用不稳定、复杂性、集成问题、导航困难、信息不准确以及身份验证和认证流程挑战。研究还归纳影响用户满意度的因素,如准确性、可靠性、便利性、可信赖性、以用户为中心的设计和整体易用性。结果表明,用户反馈与政府数字转型战略密切相关,应用评论可作为低成本、持续收集公民反馈的可行渠道。

问题
政府数字服务缺乏持续、低成本的公民反馈渠道,本文研究移动应用评论能否作为此类反馈来源。
方法
对澳大利亚129个政府移动应用的100,146条评论进行分析,归纳功能与可用性问题以及影响用户满意度的因素。
评估
基于大规模评论数据开展主题分析,识别具体问题与满意度因素,并论证其与政府数字转型战略的相关性。
原文摘要(Abstract)

Governments worldwide are increasingly embracing digital transformation initiatives to enhance service delivery, engage citizens, and achieve better outcomes. However, obtaining continuous feedback on these initiatives poses a substantial challenge. This paper investigates the feasibility of leveraging mobile app reviews as a valuable source of citizen feedback on government digital services. We analyse 100,146 app reviews from 129 government mobile apps in Australia and identify several functional and usability issues. These include issues such as app instability, complexity, integration problems, navigation difficulties, inaccuracies, and challenges with ID verification and authentication processes. Furthermore, we uncover several factors that influence user satisfaction, including accuracy and reliability, convenience, dependability, user-centric design, and overall user-friendliness. These findings demonstrate a strong correlation between user feedback and the government's digital transformation strategy, underscoring the viability of mobile app reviews as a cost-effective avenue for collecting citizen feedback.

链接与引用

DOI 原文 · DBLP

BibTeX
@inproceedings{AamirCCG23,
  title = {Government Mobile Apps: Analysing Citizen Feedback via App Reviews},
  author = {Tooba Aamir and Mohan Baruwal Chhetri and M.A.P. Chamikara and Marthie Grobler},
  booktitle = {ASE},
  year = {2023},
  doi = {10.1109/ase56229.2023.00190}
}