题名 | What Users Think about Predictive Analytics? A Survey on NFRs |
作者 | |
发表日期 | 2020-08-01 |
会议名称 | 28th IEEE International Requirements Engineering Conference (RE) |
会议录名称 | Proceedings of the IEEE International Conference on Requirements Engineering
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ISSN | 1090-705X |
卷号 | 2020-August |
页码 | 340-345 |
会议日期 | AUG 31-SEP 04, 2020 |
会议地点 | Zurich, SWITZERLAND |
会议举办国 | SWITZERLAND |
摘要 | With the recent advancement in data science, Predictive Analytics (PA) functions have been built into many commercial products, which affects several 'non-functional' goals, including usability, performance, and transparency of the software, as well as privacy and well-being of the user. The direct and indirect consequences are yet to be understood better before the service providers take any further actions in response. In this work, a survey was conducted with a sample set of 153 respondents from U.S., on their acceptance of applications with PA. The result shows that many consumers recognize the benefit of PA features, but they are not without concerns about transparency, privacy, and personal well-being. Once users are highly concerned, they may choose not to use these features or even give up the products altogether. Based on the survey result, we have discussed how requirements engineering can help the stakeholders make better decisions related to PA adoption and design, and how RE tools can help address user concerns related to PA. |
关键词 | acceptance consumer non-functional requirements predictive analytics survey |
DOI | 10.1109/RE48521.2020.00045 |
URL | 查看来源 |
收录类别 | CPCI-S |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems & Computer Science, Software Engineering |
WOS记录号 | WOS:000628527900036 |
Scopus入藏号 | 2-s2.0-85093916871 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/9119 |
专题 | 个人在本单位外知识产出 |
作者单位 | 1.California State University,Sacramento Dept. of Computer Science,Sacramento,United States 2.Tsinghua University,School of Software,Beijing,China |
推荐引用方式 GB/T 7714 | Yang, Jingwei,Liu, Lin. What Users Think about Predictive Analytics? A Survey on NFRs[C], 2020: 340-345. |
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