Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities
Human-Computer Interaction
2023-03-24 v1 Machine Learning
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.
Cite
@article{arxiv.2303.13055,
title = {Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities},
author = {Subtain Malik and Muhammad Tariq Saeed and Marya Jabeen Zia and Shahzad Rasool and Liaquat Ali Khan and Mian Ilyas Ahmed},
journal= {arXiv preprint arXiv:2303.13055},
year = {2023}
}
Comments
A review paper on studies of UI design techniques and deep learning