Baron, B;
Musolesi, M;
(2020)
Where You Go Matters: A Study on the Privacy Implications of Continuous Location Tracking.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
, 4
(4)
, Article 169. 10.1145/3432699.
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Abstract
Data gathered from smartphones enables service providers to infer a wide range of personal information about their users, such as their traits, their personality, and their demographics. This personal information can be made available to third parties, such as advertisers, sometimes unbeknownst to the users. Leveraging location information, advertisers can serve ads micro-targeted to users based on the places they visited. Understanding the types of information that can be extracted from location data and implications in terms of user privacy is of critical importance. In this context, we conducted an extensive in-the-wild research study to shed light on the range of personal information that can be inferred from the places visited by users, as well as privacy sensitivity of the personal information. To this end, we developed TrackingAdvisor, a mobile application that continuously collects user location and extracts personal information from it. The app also provides an interface to give feedback about the relevance of the personal information inferred from location data and its corresponding privacy sensitivity. Our findings show that, while some personal information such as social activities is not considered private, other information such as health, religious belief, ethnicity, political opinions, and socio-economic status is considered private by the participants of the study. This study paves the way to the design of privacy-preserving systems that provide contextual recommendations and explanations to help users further protect their privacy by making them aware of the consequences of sharing their personal data.
| Type: | Article |
|---|---|
| Title: | Where You Go Matters: A Study on the Privacy Implications of Continuous Location Tracking |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3432699 |
| Publisher version: | https://doi.org/10.1145/3432699 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10120883 |
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