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arXiv · 2303.13055

Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities

Subtain Malik·Muhammad Tariq Saeed·Marya Jabeen Zia·Shahzad Rasool·Liaquat Ali Khan·Mian Ilyas Ahmed
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Abstract

In this paper, we present a review of the recent work in deep learning methods for user interface design. The survey encompasses well known deep learning techniques (deep neural networks, convolutional neural networks, recurrent neural networks, autoencoders, and generative adversarial networks) and datasets widely used to design user interface applications. We highlight important problems and emerging research frontiers in this field. We believe that the use of deep learning for user interface design automation tasks could be one of the high potential fields for the advancement of the software development industry.

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Subtain Malik, Muhammad Tariq Saeed, Marya Jabeen Zia, Shahzad Rasool, Liaquat Ali Khan, Mian Ilyas Ahmed. 2023-03-23. Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities. https://arxiv.org/abs/2303.13055

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