Design Patterns to Support Personal Data Transparency Visualization in Mobile Applications

摘要

This paper presents a study to select and evaluate Mobile Design Patterns to support Personal Data Transparency. This research was considered as important for the Human-Computer Interaction analysis since Mobile Devices are the main resource used by subjects to interact and thus, produce personal data. Providing Transparency can require a lot of information and the Personal Transparency is being requiring by regulations of the GDPR (General Data Protection Regulation). Thus, we assumed that it could be complex to provide a mobile interface to support these issues. We selected some mobile patterns which were assumed that can support Personal Transparency Visualization and developed prototypes using the Android technology. These prototypes were evaluated providing data to conclude that the studied patterns were quite appropriated, but they required improvements related to navigation capacity.