基于隐式用户行为库可用性测试模式的实例研究
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摘要
可用性测试是可用性工程中的关键步骤,是评估界面系统用户体验的重要手段。本文通过研究当前主流的可用性测试方式,总结出其方法和理念上的特点,进而对一种隐式采集建立用户行为库的测试模式做了全面的研究。
     对于隐式用户行为库可用性测试模式,本文首先对其数据库的建立流程进行了总结,将可用性、数据挖掘以及认知行为学的多种学科知识进行了融合。再通过一个具体的实例研究,建立一个用户行为库的雏形,对实例系统分别进行显示采集和隐式采集的可用性测试,将其结果和测试过程进行全方面的比对,从而总结出隐式采集的测试方式在可用性严重度的评估和用户行为群体的界定上,都具有非常重要的研究意义,最后,通过实例的结论得出该种新方法在目前技术手段下的优缺点和发展趋势。主要研究工作概括如下:
     第一,本文首先通过研究现有的可用性开发实例项目,总结出建立一个基于隐式采集用户行为库的系统架构流程。
     第二,进行隐性数据采集、挖掘和呈现,得到双屏笔记本的基础用户行为库,对其分别进行传统测试和隐式采集测试流程。
     第三,对比两种测试结果,得出新型可用性测试模式的优缺点,对其中的难点热点问题进行了总结。
     文章阐明了建立隐式采集用户行为库的普遍性结构,在其它功能体系设计中,同样可以参照本文的方法和结构,遵循以用户为中心的设计理念,建立全面细致的用户行为库。
Now, the usability has gradually entered the ranks of core competitiveness evaluation standard of domestic products. So far, the majority usability projects are built on the traditional testing methods, but due to the rapidly development of technology, the traditional tests has been a little out of tune with the advanced network technology.
     A new type of model based on implicit collecting of user behavior has aroused widespread among major enterprises. This article is based on the Sideshow-Dual Screen laptop development conditions, through implicit data collection, combined with the guidance of the principle of usability of data mining technology, to establish a primary database of user behavior, and based on the research of user behavior database, to improve the user experience of Dual Screen laptop.
     Work is as follows:
     1. Deeply study the element and guideline of user experience, present a new approach of system design and evaluation, and suggest a dynamic model.
     2. A hidden data collection, mining and has obtained Dual Screen notebook users the basis of the behavior of their respective traditional testing and test implicit acquisition process.
     3. Compares the two test results, availability of a new test mode that the advantages and disadvantages of these difficult issues were summarized.
     This article has explored and verified the test modes of implicit collecting of the user usability, and provided a first-hand data and valuable experience for future developments in the related-field.
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