首页> 外文会议>Annual Meeting of the Human Factors and Ergonomics Society(HFES 2007); 20071001-05; Baltimore,MA(US) >Comparing Two Methods for Predicting Navigation Problems in Information Hierarchies
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Comparing Two Methods for Predicting Navigation Problems in Information Hierarchies

机译:预测信息层次结构中导航问题的两种方法比较

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When locating target items in information hierarchies, performance depends much on selecting the right nodes along the path. Two methods for evaluating category membership, card sorting and a simple statistical approach, are compared with regard to their predictive capacity of navigation difficulties. We developed a category structure for a web site and obtained metrics from both card sorting and a statistical approach based on the word frequencies of category content items. We then conducted a user study to compare actual user performance with predictions from the two approaches. Despite the simplicity of the statistical approach, it produced marginally better predictions. In particular, it predicted problematic target items that took nearly twice as much time on average to find than the remaining targets in the web navigation study. We review these results and discuss usefulness and implications of predicting navigation problems in information hierarchies for the information architect.
机译:在信息层次结构中定位目标项目时,性能很大程度上取决于在路径上选择正确的节点。比较了两种评估类别成员资格的方法,即卡片分类和简单的统计方法,它们具有导航困难的预测能力。我们为网站开发了一个类别结构,并根据类别内容项的词频从卡片分类和统计方法中获取了指标。然后,我们进行了一项用户研究,以将实际用户性能与两种方法的预测进行比较。尽管统计方法很简单,但它产生的预测更好。特别是,它预测出有问题的目标项目平均要花的时间是网络导航研究中其余目标的平均两倍。我们回顾了这些结果,并讨论了对于信息架构师而言,在信息层次结构中预测导航问题的有用性和含义。

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