Monitoring User Interactions in Android Applications through Dynamic Binary Instrumentation

Understanding user interactions with mobile applications is crucial in the field of human-computer interaction, as it furthers the improvement of user interfaces and the assessment of the socio-cultural implications of computer usage. Dynamic Binary Instrumentation (DBI) is a technique that allows the addition of analysis code to a program at runtime. This thesis explores the use of DBI for analyzing user interactions, such as touches and key presses, in Android applications without requiring access to the source code. As a proof of concept, it presents a tool which monitor user interactions with Instagram's Stories feature. This tool demonstrates the feasibility of using DBI for user interaction analysis and allows experiments to be made related to user interactions with mobile interfaces, especially in applications where source code access is restricted.