Transparency Communication Strategies in Human-Data Interaction

Abstract

With an evolution of mobile devices, as people have passed a generation and share a significant amount of data about their derivatives in services or platforms on the Web. In this context, this data can be collected, processed, stored and used by third parties, many times, in an imperceptible way to the user. Thus, an emerging area, called Human-Data Interaction (HDI), seeks to consider an inclusion of human factors in the data flow, providing mechanisms for managers to interact more transparently with systems that use their data. Moreover, there are difficulties in interacting with these mechanisms and understanding what they can do. Thus, it is important to create designers on how to convey the HDI capabilities to the users, contributing to the best use. Based on this vision, this work presents a communication strategy and enables Human-Data Interaction through the identification of the application of HDI concepts in data management applications, using the Semiotic Inspection Method (SIM).