Communications of the ACM
Usability and privacy: a study of Kazaa P2P file-sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Challenge: ubiquitous location-aware computing and the "place lab" initiative
Proceedings of the 1st ACM international workshop on Wireless mobile applications and services on WLAN hotspots
User interfaces for privacy agents
ACM Transactions on Computer-Human Interaction (TOCHI)
Why Johnny can't encrypt: a usability evaluation of PGP 5.0
SSYM'99 Proceedings of the 8th conference on USENIX Security Symposium - Volume 8
Understanding privacy settings in facebook with an audience view
UPSEC'08 Proceedings of the 1st Conference on Usability, Psychology, and Security
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Proceedings of the 6th ACM conference on Embedded network sensor systems
An activity recognition system for mobile phones
Mobile Networks and Applications
Can i borrow your phone?: understanding concerns when sharing mobile phones
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
Exploring Privacy Concerns about Personal Sensing
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
Ear-phone: an end-to-end participatory urban noise mapping system
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
PRISM: platform for remote sensing using smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Proceedings of the 12th ACM international conference on Ubiquitous computing
A survey on privacy in mobile participatory sensing applications
Journal of Systems and Software
ACCessory: password inference using accelerometers on smartphones
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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By leveraging smartphones as sensing platforms, mobile sensing applications can collect information in an unprecedented quantity and granularity. The transmission of unprocessed sensor readings can, however, pose severe threats to the users' privacy. To protect their privacy, users can apply filters to eliminate privacy-sensitive elements of the sensor readings prior to transmission. The resulting privacy protection depends on the configuration of these filters, which is controlled by the users through a privacy interface. In this paper, we study interface elements for the realization of this interface in order to foster its acceptance and maximize the efficacy of the provided privacy protection. To this end, we have implemented six graphical privacy interfaces, which have been evaluated by 80 participants of our user study. The results show a preference of the users towards differently colored and sized elements to visualize the current level of privacy protection and define their preferred privacy settings.