基于犹豫分析的用户界面缺陷检测

R. Reeder, R. Maxion
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引用次数: 22

摘要

延迟和错误是人们在使用用户界面时遇到困难的常见后果。这种延迟和错误可能导致严重的问题,特别是对于速度和准确性至关重要的关键任务应用程序。用户困难通常是由混淆或误导用户的界面设计缺陷引起的。目前用于隔离此类缺陷的技术既耗时又昂贵,因为它们需要人工分析人员来识别用户遇到困难的点;只有这样,才能对缺陷进行诊断和修复。本文提出了一种基于识别系统使用过程中的犹豫的用户困难情况的自动检测方法。通过将该方法对用户难度的判断与人工分析生成的真实情况进行比较,评估了该方法的准确性。给出了该方法在一定阈值范围内的精度;代表性的点包括92%的用户困难时期(带有35%的误报率);86%(误报率24%);20%(误报率3%)。讨论了该方法在处理界面缺陷中的应用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User Interface Defect Detection by Hesitation Analysis
Delays and errors are the frequent consequences of people having difficulty with a user interface. Such delays and errors can result in severe problems, particularly for mission-critical applications in which speed and accuracy are of the essence. User difficulty is often caused by interface-design defects that confuse or mislead users. Current techniques for isolating such defects are time-consuming and expensive, because they require human analysts to identify the points at which users experience difficulty; only then can diagnosis and repair of the defects take place. This paper presents an automated method for detecting instances of user difficulty based on identifying hesitations during system use. The method's accuracy was evaluated by comparing its judgments of user difficulty with ground truth generated by human analysts. The method's accuracy at a range of threshold parameter values is given; representative points include 92% of periods of user difficulty identified (with a 35% false-alarm rate); 86% (24% false-alarm rate); and 20% (3% false-alarm rate). Applications of the method to addressing interface defects are discussed
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