Data Mining and Visualization of Android usage data

Designing user interfaces is a challenging task, especially when it comes to the development of smartphone applications. The success and acceptance of the user interface depends crucially on the designers experience and intuition.

As a result it is not uncommon that an application does not fulfill the user requirements and shows severe shortcomings in terms of usability. Common design processes try therefore to increase the usability iteratively by repeating several design and test cycles, in which the designers try to understand the users´ needs by observing their interaction with the prototypical application. The main drawback of this approach is the cumbersome and expensive execution and analysis of the test cycles.

Another problem in the scope of the work is the fast growing of collected usage data. Therefore performance and scalability is one of the key features. This framework provides to Interfaces Designers (ID) and Human-Computer Interaction (HCI) specialists a helpful set of measures to get better insight into the user interaction and to discover usability issues from real usage data.


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