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Age differences and the depth-breadth tradeoff in hierarchical online information systems.

机译:分层在线信息系统中的年龄差异和深度权衡。

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Although the depth-breadth tradeoff in hierarchical menu systems has been considered by researchers as the most important factor when designing hierarchical menu systems, no previous study has attempted to empirically or mathematically study the effect of age on this topic.; This dissertation extends previous research in menu selection systems to the design of hierarchical online information systems first by quantitatively and qualitatively analyzing the effect of age in browsing hierarchical systems both different depth and different layouts, and secondly by proposing an age-driven parametric mathematical model that predicts the time it will take a user to browse hierarchical information systems. More specifically, three models were tested (an Age Equivalence, a General Slowing and the proposed Age-Driven Parametric Model). Finally, a number of hypotheses were also formulated.; The models and the hypotheses were tested with 24 younger Internet users (aged 36 years old and below) and with 24 older users (aged 55 years old and above). All hypotheses apart from one were supported. The general slowing model (with 1.4 general slowing parameter) and the proposed age parameter driven mathematical model predict accurately the total browsing time for both expandable and non-expandable hierarchies and for all depth arrangements tested.
机译:尽管研究人员认为分层菜单系统中的深度-宽度折衷是设计分层菜单系统时最重要的因素,但是以前没有研究尝试通过经验或数学方法研究年龄对这一主题的影响。本文首先通过定量和定性地分析年龄在浏览不同深度和不同布局的分层系统中的影响,然后通过提出年龄驱动的参数数学模型,将菜单选择系统的先前研究扩展到分层在线信息系统的设计。预测用户浏览分层信息系统所需的时间。更具体地说,测试了三个模型(年龄等效,一般减速和建议的年龄驱动参数模型)。最后,还提出了许多假设。对模型和假设进行了测试,使用了24位年轻的Internet用户(36岁及以下)和24位年龄较大的用户(55岁及以上)。除一个假设外,所有假设均得到支持。通用减速模型(具有1.4通用减速参数)和建议的年龄参数驱动的数学模型可以准确预测可扩展和不可扩展层次结构以及所测试的所有深度布置的总浏览时间。

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