Novice use of a predictive human performance modeling tool to produce UI recommendations

Kyung Wha Hong, R. Amant
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引用次数: 2

Abstract

This note describes two studies of the use of a performance modeling tool, CogTool, for making recommendations to improve a user interface. The first study replicates findings by Bonnie John [7]: the rates at which novice modelers made correct recommendations (88.1%) and supported them (68.2%) are close to the values in John's study (91.7% and 75.1%, respectively). A follow-on study of novice modelers on the same task without CogTool produced sig-nificantly lower values. CogTool improves the UI design recommendations made by novices.
新手使用预测性人类性能建模工具来生成UI建议
本文描述了使用性能建模工具CogTool的两项研究,以提出改进用户界面的建议。第一项研究重复了Bonnie John[7]的发现:新手建模者提出正确建议(88.1%)和支持建议(68.2%)的比率接近John的研究值(分别为91.7%和75.1%)。在没有CogTool的情况下,对同样任务的新手建模者进行的后续研究产生了明显较低的值。CogTool改进了新手提出的UI设计建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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