Guided Machine Learning for Mobile User Interface Design Through HCI Principles

Mobile Application User Interfaces (UIs) are crucial for user experience, with well-designed UIs enhancing usability and poorly designed ones causing frustration. The increasing needs of humans, demands UIs that support diverse tasks and contexts. Designing user interfaces requires prior experience and knowledge in designing interfaces that meet user needs. However, the shortage of specialized designers frequently results in designs that are not as user-centered. This study proposes a design guideline framework to annotate Android mobile UI images collected from RICO dataset, by combining Material Design Guidelines with most common HCI principles, to identify and report mobile UI design issues through machine learning.