他们会分享吗?通过对过去隐私行为的自我反思来预测智能手机用户的位置共享行为

M. Safi, Abhiditya Jha, Malak Eihab Aly, Xinru Page, S. Patil, P. Wisniewski
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引用次数: 4

摘要

-位置共享是一种特别敏感的在线信息泄露类型。为了解释这种行为,我们比较了从文献中提取的自我报告测量、从手机中收集的行为数据,以及一种代表自我报告和行为数据混合的新型测量的有效性,该测量将用户对其过去位置共享行为的态度放在语境中。这项新措施基于反思性学习范式,即人们通过反思过去的行为来指导未来的行为。基于对Android智能手机用户(N=114)的研究,我们发现“关于我自己”的结构和我们的新的反思措施,一个人在智能手机上的应用程序共享位置的舒适度是位置共享行为的最佳预测指标。令人惊讶的是,行为意图,一个常用的实际行为的代理,并不是一个重要的预测因素。这些结果对隐私研究和设计满足用户位置共享隐私需求的系统具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Will They Share? Predicting Location Sharing Behaviors of Smartphone Users through Self-Reflection on Past Privacy Behaviors
—Location sharing is a particularly sensitive type of online information disclosure. To explain this behavior, we compared the effectiveness of using self-report measures drawn from the literature, behavioral data collected from mobile phones, and a new type of measure that represents a hybrid of self-report and behavioral data to contextualize users’ attitudes toward their past location sharing behaviors. This new measure was based on a reflective learning paradigm, where one reflects on past behavior to inform future behavior. Based on a study of Android smartphone users (N=114), we found that the construct ‘FYI About Myself’ and our new reflective measure of one’s comfort with sharing location with apps on the smartphone were the best predictors of location sharing behavior. Surprisingly, Behavioral Intention, a commonly used proxy for actual behavior, was not a significant predictor. These results have important implications for privacy research and designing systems to meet users’ location sharing privacy needs.
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