In order to help us, our devices rely on using our personal information like GPS, contacts list, calendar e.t.c. Recent research shows that often times (especially with free applications), apps tend to request access to more privacy information than it needs.
While there has been research conducted on ways to alert users on the usage of their private information, there has not been much focus on a human-centered solution that empowers users to make informed decisions with regards to their privacy.
We focused on creating a user-centric design for a privacy manager that empowers users, and increases their awareness about how their privacy information is used.
Only in some fantasy world do users actually read [privacy] notices and understand their implications before clicking to indicate their consent.”
To test our proposed system, we created a 3 step experiment. First we gave users a survey with an informed consent, and collected demographic information and some quantitative data about users feedback for the current built-in managers. We were able to collect this quantitative data by modifying the System Usability Scale. The second part of the experiment was the A/B Tsting part where we had the users follow a series of scripted tasks on both the built-in manager and Privus. We used the Wizard of Oz technique as our prototype used mocked up information, thus deceived the users as a real application. Finally we sat down with the participants for an exit survey. We asked questions that collected both quantitative and qualitative feedback. To analyze the qualitative results we used the Grounded Theory.
“I had some issues with the scroll-screen in the beginning, but besides that it was way easier than the first one [talking about Privus vs the Built-in]”
“I really liked the colors! and the graphs make it easy to understand”
“I thought the app was pretty straight-forward, and guided me well on each step”