Application of Visual Availability Theory and Visual Perception in Software
Authors
Liu Fei1, Jiang Ye1, Liu Xian Jun1, *
1CHN Energy Digital Intelligence Technology Development (Beijing) Co., Ltd., Beijing, 100011, China
*Corresponding author.
Email: 11688090@chnenergy.com.cn
Corresponding Author
Liu Xian Jun
Available Online 9 October 2023.
- DOI
- 10.2991/978-94-6463-262-0_27How to use a DOI?
- Keywords
- Visual Accessibility Theory; Visual Perception; Software Development; Visual Appeal; Interface; User Experience; User Participation
- Abstract
This content discusses the importance of software interface design and the significance of visual accessibility theory and visual perception in creating effective interfaces. The paper aims to invest how these principles can be applied in software development to improve user experience and engagement. In addition, this article proposes a software interface click prediction model based on GRU with attention to improve the quality of the software interface. The experimental results on the collected data validate the effectiveness of the proposed model in this paper.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Liu Fei AU - Jiang Ye AU - Liu Xian Jun PY - 2023 DA - 2023/10/09 TI - Application of Visual Availability Theory and Visual Perception in Software BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 230 EP - 240 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_27 DO - 10.2991/978-94-6463-262-0_27 ID - Fei2023 ER -