Abstract:
The concept of adaptivity is crucial in enterprise
software systems with a large user base. Adaptive user
interfaces (AUI) is an emerging research area that enables
customized user experience based on user activities. Most of the
existing studies that are in the conceptual level do not provide
production level adaptivity for mainstream user interaction.
This paper presents a generic software platform for automatic
AUI generation by analyzing user behaviour patterns and
customizing web user interfaces using machine learning.
AdaBoost classifier showed 100% accuracy for large UI
components and user scenarios (n=800). The AUI generator
supports the configuration and automation of capturing user
behaviour, data storage, processing, querying analysis results
and dynamic rendering of the user interface. AUI platform had
SUS value of 80.75. The SUS scores for the UIs without AUI was
57.3 and with AUI scored 64.35 on average. The proposed AUI
platform provides production level UI design means to meet
dynamic adaptability on user traits.
