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

arXiv 2405.03716 ↗First posted 5 May 2024cs.HC cs.AIcited by 0

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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.

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.

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4 of 30 references.

References · 4

  1. 2023CogAgent: A Visual Language Model for GUI Agentscited by 704
  2. 2023UI Layout Generation with LLMs Guided by UI Grammarcited by 15
  3. 2017Usability Evaluation of a Mobile Application in Extraordinary Environment for Extraordinary Peoplecited by 1
  4. 2024A Genetic Algorithm-Based Support Vector Machine Approach for Intelligent Usability Assessment of m-Learning Applicationscited by 1

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