在构建系统之前度量交互设计:基于模型的方法

G. Brajnik, S. Harper
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引用次数: 6

摘要

用户界面的早期原型是交互式系统开发中公认的良好实践。然而,原型只涵盖了一些使用场景,并且处理所需步骤的数量、可能的交互路径或可能的用户错误的影响的问题只能针对特定的场景,并且只能在繁琐的人工检查之后才能回答。我们提出了一个工具(MIGTool),它将用户界面的行为模型转换为图形,在此基础上可以很容易地指定使用场景,并由MIGTool用于计算可能的交互路径。然后可以计算基于可能路径的指标,无论是否存在用户导航错误。例如,在分析四个邮件应用程序时,我们发现Gmail的最短路由多3倍,包含单个用户错误的路由多2倍,路由的步数少13%,但也有被选择概率最小的最优路由。如果没有MIGTool,这种分析只能在构建系统原型之后进行,并且只能通过手动跟踪用户操作和对屏幕的相关更改来针对特定场景进行分析。使用MIGTool,只需对用户界面行为进行部分规范,就可以针对不同场景探索设计的适用性,或者针对单个场景比较不同的设计备选方案。通过将场景步骤与模型中定义的所需用户操作相关联的能力,通过识别用户可以遵循的完整执行跟踪的有效策略,以及通过计算这些结果的各种指标,可以实现这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring interaction design before building the system: a model-based approach
Early prototyping of user interfaces is an established good practice in interactive system development. However, prototypes cover only some usage scenarios, and questions dealing with number of required steps, possible interaction paths or impact of possible user errors can be answered only for the specific scenarios and only after tedious manual inspection. We present a tool (MIGTool) that transforms models of the behavior of a user interface into a graph, upon which usage scenarios can be easily specified, and used by MIGTool to compute possible interaction paths. Metrics based on possible paths, with or without user navigation errors, can then be computed. For example, when analyzing four mail applications, we show that Gmail has 3 times more shortest routes, has twice more routes that include a single user error, has routes with 13% fewer steps, but has also optimal routes with the smallest probability to be chosen. Without MIGTool, this kind of analysis could only be done after building some prototype of the system, and then only for specific scenarios by manually tracing user actions and relative changes to the screens. With MIGTool the exploration of suitability of a design with respect to different scenarios, or comparison of different design alternatives against a single scenario, can be done with just a partial specification of the user interface behavior. This is made possible by the ability to associate scenarios steps to required user actions as defined in the model, by an efficient strategy to identify complete execution traces that users can follow, and by computing a range of diverse metrics on these results.
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