Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems

E Toch, Y Wang, LF Cranor - User Modeling and User-Adapted Interaction, 2012 - Springer
Personalization technologies offer powerful tools for enhancing the user experience in a
wide variety of systems, but at the same time raise new privacy concerns. For example …

Making privacy personal: Profiling social network users to inform privacy education and nudging

PJ Wisniewski, BP Knijnenburg, HR Lipford - International Journal of …, 2017 - Elsevier
Abstract Social Network Sites (SNSs) offer a plethora of privacy controls, but users rarely
exploit all of these mechanisms, nor do they do so in the same manner. We demonstrate that …

Performing a check-in: emerging practices, norms and'conflicts' in location-sharing using foursquare

H Cramer, M Rost, LE Holmquist - … of the 13th international conference on …, 2011 - dl.acm.org
Location-sharing services have a long history in research, but have only recently become
available for consumers. Most popular commercial location-sharing services differ from …

Linking location privacy, digital sovereignty and location-based services: a meta review

S Özdal Oktay, S Heitmann, C Kray - Journal of Location Based …, 2024 - Taylor & Francis
With the rapid growth of location-based services (LBS) in recent years, location privacy has
also received increasing attention as very little (location) information about a person can …

Privacy risks emerging from the adoption of innocuous wearable sensors in the mobile environment

A Raij, A Ghosh, S Kumar, M Srivastava - Proceedings of the SIGCHI …, 2011 - dl.acm.org
Wearable sensors are revolutionizing healthcare and science by enabling capture of
physiological, psychological, and behavioral measurements in natural environments …

Capturing location-privacy preferences: quantifying accuracy and user-burden tradeoffs

M Benisch, PG Kelley, N Sadeh, LF Cranor - Personal and Ubiquitous …, 2011 - Springer
We present a 3-week user study in which we tracked the locations of 27 subjects and asked
them to rate when, where, and with whom they would have been comfortable sharing their …

The mismeasurement of privacy: using contextual integrity to reconsider privacy in HCI

L Barkhuus - Proceedings of the SIGCHI Conference on Human …, 2012 - dl.acm.org
Privacy is a widely studied concept in relation to social computing and sensor-based
technologies; scores of research papers have investigated people's" privacy preferences" …

Tools for achieving usable ex post transparency: a survey

P Murmann, S Fischer-Hübner - IEEE Access, 2017 - ieeexplore.ieee.org
Transparency of personal data processing is a basic privacy principle and a right that is well
acknowledged by data protection legislation, such as the EU general data protection …

Cross-cultural privacy prediction

Y Li, A Kobsa, BP Knijnenburg… - Proceedings on Privacy …, 2017 - petsymposium.org
The influence of cultural background on people's privacy decisions is widely recognized.
However, a cross-cultural approach to predicting privacy decisions is still lacking. Our paper …