Conference & Journal Paper
Empirical Models of Privacy in Location Sharing
Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, Janice Tsai, Patrick Gage Kelley, Lorrie Faith Cranor, Jason I. Hong, Norman Sadeh
Proceedings of the 12th ACM International Conference on Ubiquitous Computing (UbiComp '10), 2010
September 2010
Abstract
The rapid adoption of location tracking and mobile social networking technologies raises significant privacy challenges. Today our understanding of people's location sharing privacy preferences remains very limited, including how these preferences are impacted by the type of location tracking device or the nature of the locations visited. To address this gap, we deployed Locaccino, a mobile location sharing system, in a four week long field study, where we examined the behavior of study participants (n=28) who shared their location with their acquaintances (n = 373.) Our results show that users appear more comfortable sharing their presence at locations visited by a large and diverse set of people. Our study also indicates that people who visit a wider number of places tend to also be the subject of a greater number of requests for their locations. Over time these same people tend to also evolve more sophisticated privacy preferences, reflected by an increase in time- and location-based restrictions. We conclude by discussing the implications our findings.
- location sharing
- privacy
- mobile social technology
Cite this paper
@inproceedings{toch2010empirical,
title = {Empirical Models of Privacy in Location Sharing},
author = {Toch, Eran and Cranshaw, Justin and Drielsma, Paul Hankes and Tsai, Janice and Kelley, Patrick Gage and Cranor, Lorrie Faith and Hong, Jason I. and Sadeh, Norman},
year = {2010},
doi = {10.1145/1864349.1864364},
url = {https://doi.org/10.1145/1864349.1864364},
booktitle = {Proceedings of the 12th ACM International Conference on Ubiquitous Computing (UbiComp '10), 2010},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
}