caa a22 4500 445821809 CHVBK 20180317145246.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s00779-010-0346-0 doi (NATIONALLICENCE)springer-10.1007/s00779-010-0346-0 Capturing location-privacy preferences: quantifying accuracy and user-burden tradeoffs [Elektronische Daten] [Michael Benisch, Patrick Kelley, Norman Sadeh, Lorrie Cranor] 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 locations. The results of analysis conducted on over 7,500h of data suggest that the user population represented by our subjects has rich location-privacy preferences, with a number of critical dimensions, including time of day, day of week, and location. We describe a methodology for quantifying the effects, in terms of accuracy and amount of information shared, of privacy-setting types with differing levels of complexity (e.g., setting types that allow users to specify location- and/or time-based rules). Using the detailed preferences we collected, we identify the best possible policy (or collection of rules granting access to one's location) for each subject and privacy-setting type. We measure the accuracy with which the resulting policies are able to capture our subjects' preferences under a variety of assumptions about the sensitivity of the information and user-burden tolerance. One practical implication of our results is that today's location-sharing applications may have failed to gain much traction due to their limited privacy settings, as they appear to be ineffective at capturing the preferences revealed by our study. Springer-Verlag London Limited, 2010 Privacy and security nationallicence Location sharing nationallicence Usability nationallicence Mobile and pervasive computing nationallicence Benisch Michael School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut Kelley Patrick School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut Sadeh Norman School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut Cranor Lorrie School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut Personal and Ubiquitous Computing Springer-Verlag 15/7(2011-10-01), 679-694 1617-4909 15:7<679 2011 15 779 https://doi.org/10.1007/s00779-010-0346-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00779-010-0346-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Benisch Michael School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut NATIONALLICENCE 700 1- Kelley Patrick School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut NATIONALLICENCE 700 1- Sadeh Norman School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut NATIONALLICENCE 700 1- Cranor Lorrie School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave., 15213, Pittsburgh, PA, USA aut NATIONALLICENCE 773 0- Personal and Ubiquitous Computing Springer-Verlag 15/7(2011-10-01), 679-694 1617-4909 15:7<679 2011 15 779 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer