Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866913343130828800 |
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| author | Namoun, Abdallah Alrehaili, Ahmed Nisa, Zaib Un Almoamari, Hani Tufail, Ali |
| author_facet | Namoun, Abdallah Alrehaili, Ahmed Nisa, Zaib Un Almoamari, Hani Tufail, Ali |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_03716 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges Namoun, Abdallah Alrehaili, Ahmed Nisa, Zaib Un Almoamari, Hani Tufail, Ali Human-Computer Interaction Artificial Intelligence 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. |
| title | Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2405.03716 |