Several researchers have recently suggested that in order to avoid privacy problems, location-sharing services should provide finer-grained methods of location-sharing. This may however turn each “check-in” into a rather complex decision that puts an unnecessary burden on the user. We present two studies that explore ways to help users with such location-sharing decisions. Study 1 shows that users’ evaluation of their activity is a good predictor of the sharing action they choose. Study 2 develops several “privacy recommenders” that tailor the list of sharing actions to this activity evaluation. We find that these recommenders have a strong persuasive effect, and that users find short lists of recommended actions helpful. We also find, however, that users ultimately find it more satisfying if we do not ask them to evaluate the activity.



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