用户如何看待产品中的预测分析功能?——面向非功能性需求的调研报告

What Users Think about Predictive Analytics?——A Domestic Survey on NFRs

随着近年来数据分析技术的发展,预测分析功能被嵌入到众多互联网商业产品中,为企业带来了巨大的服务收益。然而,这类功能影响哪些非功能性目标?这类功能对普遍关注的非功能性目标包括软件的可用性、性能和透明度,以及用户的隐私乃至个人身心健康等的影响如何?在软件服务商进一步拓展这类技术的应用之前,我们需要对预测分析功能所带来的直接和间接影响进行进一步了解。首先对来自国内的565名受访者进行了问卷调研,搜集了他们对预测分析功能应用的反馈。初步的分析结果表明,尽管许多消费者认可预测分析功能所带来的便利,但他们也表示了对产品的透明度、个人生活和隐私等方面的顾虑。在特定情况下,由于存在这些顾虑,部分用户会选择停止使用预测分析功能,甚至放弃使用整个产品。基于调研结果,从需求工程的视角,讨论了如何把预测分析技术与产品进行有机融合,以减轻和消除用户的顾虑,同时充分挖掘预测分析技术的价值。

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 domestic survey is conducted with a sample set of 565 domestic respondents from China,on their acceptance of applications with PA.The result shows that many consumers recognize the benefit of PA features,but they are not without concerning 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,this paper discusses 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.