Lin et al, Expectation and Purpose: Understanding User’s Mental Models of Mobile App Privacy thru Crowdsourcing. Ubicomp 2012.
http://www.cmuchimps.org/publications/expectation_and_purpose_understanding_users_mental_models_of_mobile_app_privacy_through_crowdsourcing_2012/pub_download
Moto Racing / https://play.google.com/store/apps/details?id=com.motogames.supermoto
On the left is Nissan Maxima gear shift. It turns out my brother was driving in 3rd gear for over a year before I pointed out to him that 3 and D are separate. The older Nissan Maxima gear shift on the right makes it hard to make this mistake.
Lin et al, Modeling Users’ Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings. SOUPS 2014.
INTERNET, READ_PHONE_STATES, ACCESS_COARSE_LOCATION, ACCESS_FINE_LOCATION, CAMERA, GET_ACCOUNTS, SEND_SMS, READ_SMS, RECORD_AUDIO, BLUE_TOOTH and READ_CONTACT
The draw of the crowd is devilishly strong
There have been studies demonstrating that if you have lots of people looking up, pretty much every passerby will too
http://www.carlsonschool.umn.edu/assets/118359.pdf
Baseline environmental message was 35%
Das, S., A. Kramer, L. Dabbish, J.I. Hong. Increasing Security Sensitivity With Social Proof: A Large-Scale Experimental Confirmation. In The 21st ACM Conference on Computer and Communications Security (CCS 2014). 2014. [19.5% accept rate]http://www.cmuchimps.org/publications/increasing_security_sensitivity_with_social_proof_a_large_scale_experimental_confirmation_2014
Results more subtle than presented in this table, see the CCS 2014 paper for details.
The basics are there though, that social conditions worked better than control in almost every case
DARPA
Google
CMU CyLab
Big Data
Crowd
Scale
Ecosystem -> developers / FTC