Usability analysis with Markov models
Usability analysis with Markov models
复制标题
使用马尔可夫模型进行可用性分析
DOI：
10.1145/376929.376941
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Matt Jones
中科院分区：
文献类型：
--
作者：
H. Thimbleby;P. Cairns;Matt Jones
用户找到用于实现其目标的交互设备有多困难？我们如何尽早获得这些信息以影响设计？我们证明马尔可夫建模可以获得合适的度量，并且我们提供了可用于一大类系统的公式。我们分析并考虑各种实际示例的替代设计。我们引入了“知识/可用性图”，它显示了即使少量的知识对用户的影响，以及设计者的知识可能在多大程度上影响他们对可用性的看法。马尔可夫模型可以内置到设计工具中，因此可以非常方便设计人员使用。人们希望未来的设计工具将包括这种数学分析，并且不需要新的设计技能来评估设备。本文特别关注的是使该方法易于使用。附录中提供了完整的程序代码和所有基础数学知识，以便其他人能够复制和测试显示的所有结果。
How hard to users to find interactive devices to use to achieve their goals, and how can we get this information early enough to influence design? We show that Markov modeling can obtain suitable measures, and we provide formulas that can be used for a large class of systems. We analyze and consider alternative designs for various real examples. We introduce a “knowledege/usability graph,” which shows the impact of even a smaller amount of knowledge for the user, and the extent to which designers' knowledge may bias their views of usability. Markov models can be built into design tools, and can therefore be made very convenient for designers to utilize. One would hope that in the future, design tools would include such mathematical analysis, and no new design skills would be required to evaluate devices. A particular concern of this paper is to make the approach accessible. Complete program code and all the underlying mathematics are provided in appendices to enable others to replicate and test all results shown.