Context-aware privacy meter
Technologies are presented that provide context-aware privacy metering regarding establishments, such as consumer establishments. A method of rating privacy of one or more establishments may include receiving a location designation of a user device from the user device (automatically or via user input), obtaining privacy-related information regarding one or more establishments in proximity of the location designation, and generating one or more privacy score vector algorithms for the one or more establishments based on the privacy-related information regarding the one or more establishments. The method may further include obtaining a privacy profile of the user, determining one or more privacy scores for the one or more establishments by applying the privacy profile of the user to the one or more privacy score vector algorithms. The method may further include generating and providing a privacy-related recommendation regarding a particular establishment.
1. An apparatus, comprising a processor and memory configured to:
construct a privacy preference profile of a user based on one or more of privacy preferences of the user, behavior of the user with respect to establishments with which the user interacts, and privacy preferences of other users;
construct a privacy profile of an establishment based on one or more of privacy-related information provided by the establishment, privacy-related information provided by people who have experience with the establishment, and behaviors of people with respect to the establishment;
generate a recommendation for the user regarding interacting with the establishment based on the privacy preference profile of the user and the privacy profile of the establishment; and
provide the recommendation to a device of the user when the device of the user is proximate to the establishment.
2. The apparatus of claim 1 , wherein the processor and memory are further configured to:
construct the privacy preference profile of the user based on a preference of the user regarding exposure to one or more of observation cameras, facial analysis, gender recognition, age recognition, gender profiling, age profiling, and dress profiling.
3. The apparatus of claim 1 , wherein the processor and memory are further configured to:
infer a privacy preference of the user based on the behavior of the user with respect to establishments with which the user interacts; and
construct the privacy preference profile of the user based at least in part on the inferred privacy preference of the user.
4. The apparatus of claim 1 , wherein the processor and memory are further configured to:
modify the privacy preference profile of the user based on behavior of the user with respect to the recommendation.
5. The apparatus of claim 1 , wherein the processor and memory are further configured to:
modify the privacy preference profile of the user based on behavior of the user that is contrary to the recommendation.
6. The apparatus of claim 5 , wherein the processor and memory are further configured to:
construct the privacy preference profile of the user to include a preference of the user to avoid facilities at which surveillance devices are deployed;
construct the privacy profile of the establishment to include an indication that a surveillance device is deployed at the establishment;
generate the recommendation to include a warning to avoid entering the establishment based on the preference of the user to avoid establishments at which surveillance devices are deployed and the indication that a surveillance device is deployed at the establishment; and
modify the preference of the user to avoid establishments at which surveillance devices are deployed if the user enters the establishment subsequent to the warning.
7. The apparatus of claim 1 , wherein the processor and memory are further configured to:
construct the privacy profile of the establishment based on the privacy-related information provided by people who have experience with the establishment;
wherein the privacy-related information provided by people who have experience with the establishment includes one or more of photographs, videos, and comments.
8. The apparatus of claim 1 , wherein the processor and memory are further configured to:
construct the privacy profile of the establishment based on the behaviors of people with respect to the establishment.
9. The apparatus of claim 8 , wherein the processor and memory are further configured to:
infer that a person is satisfied with privacy afforded to children at the establishment if the person brings children to the establishment; and
construct the privacy profile of the establishment based in part on the inference that the person is satisfied with privacy afforded to children at the establishment.
10. The apparatus of claim 8 , wherein the processor and memory are further configured to:
infer that a person trusts the establishment based on an extent to which the person uses one or more of a loyalty card of the establishment and a financial transaction card of the establishment; and
construct the privacy profile of the establishment based in part on the inference that the person trusts the establishment.
11. The apparatus of claim 8 , wherein the processor and memory are further configured to:
monitor audio of a person at the establishment to determine if the person verbally discloses personal information;
infer that the person trusts the establishment if the person is determined to have disclosed personal information at the establishments; and
construct the privacy profile of the establishment based in part on the inference that the person trusts the establishment.
12. The apparatus of claim 8 , wherein the processor and memory are further configured to:
monitor electronic communications of a person who has experience with the establishment;
infer that the person has not shared personal information with the establishment if the person does not receive an electronic communication from the establishment; and
construct the privacy profile of the establishment based in part on the inference that the person has not shared personal information with the establishment.
13. The apparatus of claim 1 , wherein the processor and memory are further configured to construct the privacy profile of the establishment based on one or more of:
an extent of to which the establishment deploys observation cameras at the establishment;
an extent to which the establishment profiles customers based on demographics of the customers;
an extent to which the establishment profiles customers based on customer usage of a loyalty program of the establishment;
an extent to which the establishment profiles customers based on customer usage of a financial transaction card associated with the establishment;
an extent to which the establishment discloses customer information to one or more other establishments;
an extent to which the establishment anonymizes the customer information disclosed to one or more other establishments;
a privacy statement of the establishment; and
a data retention policy of the establishment.
14. A non-transitory computer readable medium encoded with a computer program that includes instructions to cause a processor to:
construct a privacy preference profile of a user based on one or more of privacy preferences of the user, behavior of the user with respect to establishments with which the user interacts, and privacy preferences of other users;
construct a privacy profile of an establishment based on one or more of privacy-related information provided by the establishment, privacy-related information provided by people who have experience with the establishment, and behaviors of people with respect to the establishment;
generate a recommendation for the user regarding interacting with the establishment based on the privacy preference profile of the user and the privacy profile of the establishment; and
provide the recommendation to a device of the user when the device of the user is proximate to the establishment.
15. The non-transitory computer readable medium of claim 14 , further including instructions to cause the processor to:
construct the privacy preference profile of the user based on a preference of the user regarding exposure to one or more of observation cameras, facial analysis, gender recognition, age recognition, gender profiling, age profiling, and dress profiling.
16. The non-transitory computer readable medium of claim 14 , further including instructions to cause the processor to:
infer a privacy preference of the user based on the behavior of the user with respect to establishments with which the user interacts; and
construct the privacy preference profile of the user based at least in part on the inferred privacy preference of the user.
17. The non-transitory computer readable medium of claim 14 , further including instructions to cause the processor to:
modify the privacy preference profile of the user based on behavior of the user that is contrary to the recommendation.
18. The non-transitory computer readable medium of claim 14 , further including instructions to cause the processor to:
construct the privacy profile of the establishment based on the privacy-related information provided by people who have experience with the establishment;
wherein the privacy-related information provided by people who have experience with the establishment includes one or more of photographs, videos, and comments.
19. The non-transitory computer readable medium of claim 14 , further including instructions to cause the processor to:
construct the privacy profile of the establishment based on the behaviors of people with respect to the establishment.
20. A machine-implemented method, comprising:
constructing a privacy preference profile of a user based on one or more of privacy preference input of the user, behavior of the user with respect to establishments with which the user interacts, and privacy preferences of other users;
constructing a privacy profile of an establishment based on one or more of privacy-related information provided by the establishment, privacy-related information provided by people who have experience with the establishment, and behaviors of people with respect to the establishment;
generating a recommendation for the user regarding interacting with the establishment based on the privacy preference profile of the user and the privacy profile of the establishment; and
presenting the recommendation at a device of the user.
21. The machine-implemented method of claim 20 , wherein the constructing a privacy preference profile of a user includes:
constructing the privacy preference profile of the user based on a preference of the user regarding exposure to one or more of observation cameras, facial analysis, gender recognition, age recognition, gender profiling, age profiling, and dress profiling.
22. The machine-implemented method of claim 20 , wherein the constructing a privacy preference profile of a user includes:
inferring a privacy preference of the user based on the behavior of the user with respect to establishments with which the user interacts; and
constructing the privacy preference profile of the user based at least in part on the inferred privacy preference of the user.
23. The machine-implemented method of claim 20 , further including:
modifying the privacy preference profile of the user based on behavior of the user that is contrary to the recommendation.
24. The machine-implemented method of claim 20 , wherein the constructing a privacy profile of an establishment includes:
constructing the privacy profile of the establishment based on the privacy-related information provided by people who have experience with the establishment;
wherein the privacy-related information provided by people who have experience with the establishment includes one or more of photographs, videos, and comments.
25. The machine-implemented method of claim 20 , wherein the constructing a privacy profile of an establishment includes:
constructing the privacy profile of the establishment based on the behaviors of people with respect to the establishment.