Interface Design and Optimization Methods of Government Websites from a Flat Perspective
Flat website design has become more and more popular in recent years due to its simplicity and elegance. Nevertheless, the current flat design thinking is mainly applied to conventional websites such as corporate websites. Recently, the increase in public demands has significantly increased the brow...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/8352066 |
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| _version_ | 1849402688005996544 |
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| author | Wenyan Zhong Ming Liu |
| author_facet | Wenyan Zhong Ming Liu |
| author_sort | Wenyan Zhong |
| collection | DOAJ |
| description | Flat website design has become more and more popular in recent years due to its simplicity and elegance. Nevertheless, the current flat design thinking is mainly applied to conventional websites such as corporate websites. Recently, the increase in public demands has significantly increased the browsing frequency of government websites. To optimize the government website, this study establishes a government website design framework from the perspective of flattening. The established framework can extract flat design elements from the massive flat website design schemes in the past. Based on flat design elements, the particle swarm algorithm (PSO) algorithm in the established framework realizes the design and optimization of government websites. Subsequently, the performance of the CNN, which is used as the fitness function of the PSO algorithm, in predicting public acceptance is analyzed with a case study. The case results show that the average relative errors between the prediction results predicted by CNN and the real public acceptance in two provinces are 2.5416% and 1.4788%, respectively, which indicates that the predicted and real results are in good agreement. Moreover, the linear correlation coefficients between predicted and real public acceptance are 0.9553 and 0.9937, respectively, which further indicates that CNN is reliable as a fitness function of the PSO algorithm. Therefore, it is feasible to use the PSO algorithm to optimize the government website design scheme. |
| format | Article |
| id | doaj-art-962b9a41fec24ecda3186eb650af5583 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-962b9a41fec24ecda3186eb650af55832025-08-20T03:37:29ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/8352066Interface Design and Optimization Methods of Government Websites from a Flat PerspectiveWenyan Zhong0Ming Liu1Department of DesignLongyan UniversityFlat website design has become more and more popular in recent years due to its simplicity and elegance. Nevertheless, the current flat design thinking is mainly applied to conventional websites such as corporate websites. Recently, the increase in public demands has significantly increased the browsing frequency of government websites. To optimize the government website, this study establishes a government website design framework from the perspective of flattening. The established framework can extract flat design elements from the massive flat website design schemes in the past. Based on flat design elements, the particle swarm algorithm (PSO) algorithm in the established framework realizes the design and optimization of government websites. Subsequently, the performance of the CNN, which is used as the fitness function of the PSO algorithm, in predicting public acceptance is analyzed with a case study. The case results show that the average relative errors between the prediction results predicted by CNN and the real public acceptance in two provinces are 2.5416% and 1.4788%, respectively, which indicates that the predicted and real results are in good agreement. Moreover, the linear correlation coefficients between predicted and real public acceptance are 0.9553 and 0.9937, respectively, which further indicates that CNN is reliable as a fitness function of the PSO algorithm. Therefore, it is feasible to use the PSO algorithm to optimize the government website design scheme.http://dx.doi.org/10.1155/2022/8352066 |
| spellingShingle | Wenyan Zhong Ming Liu Interface Design and Optimization Methods of Government Websites from a Flat Perspective Discrete Dynamics in Nature and Society |
| title | Interface Design and Optimization Methods of Government Websites from a Flat Perspective |
| title_full | Interface Design and Optimization Methods of Government Websites from a Flat Perspective |
| title_fullStr | Interface Design and Optimization Methods of Government Websites from a Flat Perspective |
| title_full_unstemmed | Interface Design and Optimization Methods of Government Websites from a Flat Perspective |
| title_short | Interface Design and Optimization Methods of Government Websites from a Flat Perspective |
| title_sort | interface design and optimization methods of government websites from a flat perspective |
| url | http://dx.doi.org/10.1155/2022/8352066 |
| work_keys_str_mv | AT wenyanzhong interfacedesignandoptimizationmethodsofgovernmentwebsitesfromaflatperspective AT mingliu interfacedesignandoptimizationmethodsofgovernmentwebsitesfromaflatperspective |