Usability issues can hinder the effective use of software. Therefore, various techniques are deployed to diagnose and mitigate them. However, these techniques are costly and time-consuming, particularly in iterative design and development. A substantial body of research indicates that automation and artificial intelligence can enhance the process of obtaining usability insights. In our systematic review of 155 publications, we offer a comprehensive overview of the current state of the art for automated usability issue detection. We analyze trends, paradigms, and the technical context in which they are applied. Finally, we discuss the implications and potential directions for future research.
@article{arxiv.2504.01415,
title = {Systematic Literature Review of Automation and Artificial Intelligence in Usability Issue Detection},
author = {Eduard Kuric and Peter Demcak and Matus Krajcovic and Jan Lang},
journal= {arXiv preprint arXiv:2504.01415},
year = {2025}
}