一种混合数据驱动的基于Web的UI-UX评价模型
A Hybrid Data-Driven Web-Based UI-UX Assessment Model
摘要：
今天，很大一部分最终用户信息系统的图形用户界面（GUI）是用基于Web的技术（JavaScript、CSS和HTML）构建的。这些基于网络的系统中的一些包括：物联网（IOT），信息娱乐（在车辆中），交互式显示屏（用于数字菜单板，信息亭，公共汽车站或机场的数字标牌显示器，银行ATM等），和Web应用程序/服务（在智能设备上）。因此，必须对基于Web的UI进行评估，以提高其执行技术任务的能力。本研究提出一个评估与改善网路用户界面品质的架构与流程，并以层级的方式进行评估。该研究开发了一个综合的框架，这是一个聚合的算法，如多准则决策方法的层次分析法（AHP）的系数生成，情感分析，K-均值聚类算法和可解释的AI（XAI）。
英文摘要：
Today, a large proportion of end user information systems have their Graphical User Interfaces (GUI) built with web-based technology (JavaScript, CSS, and HTML). Some of these web-based systems include: Internet of Things (IOT), Infotainment (in vehicles), Interactive Display Screens (for digital menu boards, information kiosks, digital signage displays at bus stops or airports, bank ATMs, etc.), and web applications/services (on smart devices). As such, web-based UI must be evaluated in order to improve upon its ability to perform the technical task for which it was designed. This study develops a framework and a processes for evaluating and improving the quality of web-based user interface (UI) as well as at a stratified level. The study develops a comprehensive framework which is a conglomeration of algorithms such as the multi-criteria decision making method of analytical hierarchy process (AHP) in coefficient generation, sentiment analysis, K-means clustering algorithms and explainable AI (XAI).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
