Permission vs. App Limiters: Profiling Smartphone Users to Understand Differing Strategies for Mobile Privacy Management

要旨

We conducted a user study with 380 Android users, profiling them according to two key privacy behaviors: the number of apps installed and the Dangerous permissions granted to those apps. We identified four unique privacy profiles: 1) Privacy Balancers (49.74% of participants), 2) Permission Limiters (28.68% ), 3) App Limiters (14.74%), and 4) the Privacy Unconcerned (6.84%). App and Permission Limiters were significantly more concerned about perceived surveillance than Privacy Balancers and the Privacy Unconcerned. App Limiters had the lowest number of apps installed on their devices with the lowest intention of using apps and sharing information with them, compared to Permission Limiters who had the highest number of apps installed and reported higher intention to share information with apps. The four profiles reflect the differing privacy management strategies, perceptions, and intentions of Android users that go beyond the binary decision to share or withhold information via mobile apps.

著者
Ashwaq Alsoubai
University of Central Florida, Orlando, Florida, United States
Reza Ghaiumy Anaraky
Clemson University, Clemson, South Carolina, United States
Yao Li
University of Central Florida, Orlando, Florida, United States
Xinru Page
Brigham Young University, Provo, Utah, United States
Bart Knijnenburg
Clemson University, Clemson, South Carolina, United States
Pamela J.. Wisniewski
University of Central Florida, Orlando, Florida, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517652

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Phone, Homes, and Privacy

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4 件の発表
2022-05-02 23:15:00
2022-05-03 00:30:00