The Persuasive Effect of Privacy Recommendations for Location Sharing Services
17 Pages Posted: 23 Feb 2014
Date Written: October 6, 2013
Abstract
Several researchers have recently suggested that in order to avoid privacy problems, location- sharing services (LSS) should provide finer grained methods of sharing one’s location. This may however turn each “check-in” into a rather complex decision that puts an unnecessary burden on the user. This paper presents two studies that explore ways to help users with such fine-grained location-sharing decisions. In study 1 (N=100), we show that although users differ wildly in their preferred sharing actions for any given scenario, users’ evaluation of the activity described in the scenario is a good predictor of the sharing action they choose. In study 2 (N=368), we develop several “privacy recommenders” that tailor the list of sharing actions based on the user’s evaluation of the activity. Testing these privacy recommenders against a static system, we find that they have a strong persuasive influence on the user, and that a recommender that shows a short list of recommended actions and hides all other actions is perceived to be helpful. We also find, however, that a system that does not ask the user to evaluate the activity is ultimately more satisfying.
Keywords: privacy, information disclosure, decision-making, personalization, recommender systems, user experience
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