User Interface Optimization using Genetic Programming with an Application to Landing Pages
User Interface Optimization using Genetic Programming with an Application to Landing Pages
复制标题
使用遗传编程优化用户界面并应用于登陆页面
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Paulo Salem
中科院分区：
文献类型：
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作者：
Paulo Salem
用户界面（UI）（例如万维网页面）的设计通常在于人类设计者映射一个特定问题（例如，客户的需求）到一个特定的解决方案（即，UI）。在这篇文章中，提出了一种基于遗传编程的技术来自动化设计过程的关键部分。在这种方法中，设计者应该定义基本的内容元素和方式来联合收割机，然后自动组成和测试与真实的用户的遗传算法，以找到最佳的组合。这种策略使得能够以系统的方式探索大的设计状态空间，从而超越传统的A/B测试方法。与同样基于遗传算法的类似技术相比，该系统具有更通用的优点，提供了整体编程UI设计工作流程的基础，并递增地计算解决方案的适应度。为了说明和评估的方法，一个实验的基础上优化的着陆页。所获得的经验结果虽然是初步的，但在统计上是显著的，并证实了该技术有效的假设。
The design of user interfaces (UIs), such as World Wide Web pages, usually consists in a human designer mapping one particular problem (e.g., the demands of a customer) to one particular solution (i.e., the UI). In this article, a technology based on Genetic Programming is proposed to automate critical parts of the design process. In this approach, designers are supposed to define basic content elements and ways to combine them, which are then automatically composed and tested with real users by a genetic algorithm in order to find optimized compositions. Such a strategy enables the exploration of large design state-spaces in a systematic manner, hence going beyond traditional A/B testing approaches. In relation to similar techniques also based on genetic algorithms, this system has the advantage of being more general, providing the basis of an overall programmatic UI design workflow, and of calculating the fitness of solutions incrementally. To illustrate and evaluate the approach, an experiment based on the optimization of landing pages is provided. The empirical result obtained, though preliminary, is statistically significant and corroborates the hypothesis that the technique works.