The 'Retailio' Privacy Wizard: Assisting Users with Privacy Settings for Intelligent Retail Stores
The 'Retailio' Privacy Wizard: Assisting Users with Privacy Settings for Intelligent Retail Stores
复制标题
“Retailio”隐私向导：协助用户进行智能零售商店的隐私设置
DOI：
10.14722/eurousec.2018.23001
复制
发表时间：
2018
影响因子：
4.4
通讯作者：
A. Krueger
中科院分区：
文献类型：
--
作者：
Frederic Raber;D. Ziemann;A. Krueger
—Amazon Go 等智能零售商店收集并处理大量购物者的个人数据以提供服务。在本文中，我们介绍了 Retailio，这是一种隐私管理软件，允许客户选择零售商店应访问的私人数据。隐私向导通过使用小型非正式隐私调查问卷或从用户 Facebook 帖子中提取的隐私措施来帮助用户设置隐私设置，从而基于机器学习预测用户定制的隐私设置。我们进行了专家访谈，以确定智能零售商店可以记录的不同类型的数据，并进行了用户研究，以查明这些数据的披露是否与购物者的个性相关。 Retailio 在一项验证研究中对隐私向导的准确性和软件的用户体验进行了评估。我们的结果表明，IUIPC 调查问卷与数据披露选择之间存在很强的相关性，这使我们能够以 70% 的准确率预测隐私设置。
—Intelligent retail stores like Amazon Go collect and process a large amount of shoppers’ personal data to offer their service. In this paper we present Retailio , privacy management software that allows the customer to select the private data that should be accessible by retail stores. A privacy wizard helps the user to set her privacy settings, by using either a small informal privacy questionnaire or privacy measures extracted out of the user’s Facebook posts for a machine learning-based prediction of user-tailored privacy settings. We conducted an expert interview to determine the different types of data that could be recorded in intelligent retail stores, and performed a user study to find out whether their disclosures correlate with shoppers’ personalities. Retailio was evaluated in a validation study, regarding accuracy of the privacy wizard and user experience of the software. Our results show that there is a strong correlation between the IUIPC questionnaire and the data disclosure choice, which allowed us to predict the privacy settings with 70% accuracy.