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引用次数: 13

摘要

在近年来万维网的快速发展过程中,“可用性”和“导航性”成为研究界关注的问题。大型Web系统正变得如此复杂,以至于用户常常不得不进行大量的“导航工作”来完成他们的任务。这给用户带来了沉重的“导航负担”。目前收集的可用性指导方针和原则有上千条规则需要遵循,但没有一条直接和具体地解决“导航负担”的问题。因此,没有工具/验证器可以衡量用户在网站上执行某些任务时的“导航负担”。确实存在一些可用性和可访问性准则,这些准则仅通过分析HTML页面、CSS(层叠样式表)和其他可从Web站点检索的内容,由当前的工具来验证。然而,检查这些指导方针的实现经常会遇到没有可用模型的问题,即没有对Web页面(或其部分)的某些属性的抽象描述。这样,验证器要么无法发现页面中的某些可用性问题,要么输出过多的一般警告消息。例如,可以直接检查给定的HTML代码是否使用了有限数量的不同字体,但不可能可靠地测量用户体验的“导航负担”,除非一个模型或机制提供了有关加重“导航负担”方面的信息。在本文中,我们确定了加重用户“导航负担”的某些方面。然后,我们提出了一种如何度量“导航负担”的机制,随后讨论了如何将该机制集成到当前可用的自动化可用性验证器中
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Measuring Navigational Burden
During the rapid growth of World Wide Web in the recent past, 'usability' and 'navigation' have emerged as problems of concern to the research community. Large Web systems are being made so complex that often the users have to make excessive amount of 'navigational efforts' to complete their tasks. This inflicts a heavy 'navigational burden' upon the users. Current collection of usability guidelines and principles has on the order of thousand rules to follow but none of them directly and specifically addresses the problem of 'navigational burden'. Thus there exists no tool/validator that can measure the 'navigational burden' a user experiences while performing some task on a Web site. Some usability and accessibility guidelines do exist which are validated by current tools just by analyzing the HTML pages, CSS (cascading style sheets) and other contents that can be retrieved from a Web site. However, the implementation of checks for these guidelines often suffers from the problem that no model is available, i.e. no abstract description of certain properties of the Web page (or its parts). This way, the validators either fail to find certain usability problems in the pages or it outputs too many general warning messages. For instance, it is straightforward to check given HTML code for the use of a limited number of different font faces, but it is not possible to do this reliably for measuring the 'navigational burden' a user experiences, unless a model or a mechanism provides information regarding the aspects that aggravate the 'navigational burden'. In this paper we identify certain aspects which aggravate the 'navigational burden' of users. We then present a mechanism how to measure 'navigational burden', followed by a discussion to integrate this mechanism into currently available automated usability validators
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