Library for Automatic Data Collection on User Interaction with Interface Elements Based on iOS Human Interface Guidelines

Student: Zimin Alexander

Educational Programme: Software Engineering (Bachelor)

Final Grade: 9

Year of Graduation: 2017

A large number of mobile and desktop applications have poor usability, in particular, the users complain about unreachable parts of applications or bad constructed UI elements. The idea of this article is to describe a framework that will analyse the user interaction by comparing it with predefined UX rules. This framework will be based on the aspect-oriented programming and the rules defined on human interface guidelines. As the result, quality of applications will improve significantly and what is more, there will be no need in hiring expensive UX specialists. Thus, companies can save a lot of money. This is a new field of work, but it has a high potential, especially with a machine learning implementation.

Full text (added May 28, 2017)

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