# Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges

arXiv: https://arxiv.org/abs/2405.03716 · HTML: https://mlsanity.com/paper/2405.03716/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 30 references that are in the map.
- First posted on arXiv 5 May 2024.

## Builds on (most cited first, 4 of 4)

- [CogAgent: A Visual Language Model for GUI Agents](https://mlsanity.com/paper/2312.08914/) (2023)
- [UI Layout Generation with LLMs Guided by UI Grammar](https://mlsanity.com/paper/2310.15455/) (2023)
- [Usability Evaluation of a Mobile Application in Extraordinary Environment for Extraordinary People](https://mlsanity.com/paper/1708.04653/) (2017)
- [A Genetic Algorithm-Based Support Vector Machine Approach for Intelligent Usability Assessment of m-Learning Applications](https://mlsanity.com/paper/2404.16043/) (2024)

## Abstract (arXiv)

This article proposes the so-called large user interface models (LUIMs) to enable the generation of user interfaces and prediction of usability using artificial intelligence in the context of mobile applications.