Title :
Studying the effectiveness of android application permissions requests
Author :
Benton, Kevin ; Camp, L. Jean ; Garg, Vaibhav
Author_Institution :
Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
Abstract :
Popular platforms including Android and Facebook have adopted a permissions-based model. Under this model applications (apps) are required to declare specific access to user information required for functionality. We conducted two user studies on Amazon´s Mechanical Turk to test the efficacy of these permissions requests on the Android platform. We found permissions were ineffective, even with the addition of an additional text warning. Conversely, we found that an app´s download count had a strong effect on app installations. In order to determine if it was a failure of our text-based warning, we ran a second experiment with a previously proven visual indicator.
Keywords :
authorisation; operating systems (computers); system recovery; Amazon Mechanical Turk; Android application permissions request; Facebook; app download count; app installation; failure; model application; permissions-based model; text warning; user information access; visual indicator; Androids; Facebook; Humanoid robots; Privacy; Smart phones; Software; Visualization;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-5075-4
Electronic_ISBN :
978-1-4673-5076-1
DOI :
10.1109/PerComW.2013.6529497