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

التفاصيل البيبلوغرافية
العنوان: Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
المؤلفون: Namoun, Abdallah, Alrehaili, Ahmed, Nisa, Zaib Un, Almoamari, Hani, Tufail, Ali
المصدر: 2024; Procedia Computer Science
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
الوصف: 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.
Comment: 12 pages, 3 figures, 4 tables, The 7th International Conference on Emerging Data and Industry (EDI40)
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2405.03716
رقم الأكسشن: edsarx.2405.03716
قاعدة البيانات: arXiv