Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
Abdallah Namoun, Ahmed Alrehaili, Zaib Un Nisa, Hani Almoamari, Ali, Tufail

TL;DR
This paper introduces large user interface models (LUIMs) that leverage AI to generate mobile app interfaces and predict their usability, highlighting new opportunities and challenges in this emerging field.
Contribution
The paper presents LUIMs as a novel approach for AI-driven UI generation and usability prediction in mobile applications, expanding the scope of AI in UI design.
Findings
LUIMs can effectively generate user interfaces for mobile apps.
AI-based usability prediction improves design efficiency.
The approach highlights opportunities and challenges in AI-driven UI development.
Abstract
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.
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Taxonomy
TopicsBig Data and Business Intelligence · Usability and User Interface Design · Mobile and Web Applications
