Evaluating fitts' law performance with a non-ISO task

Maria Francesca Roig-Maimó, I. Mackenzie, C. Manresa-Yee, J. Varona
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引用次数: 15

Abstract

We used a target-selection task to evaluate head-tracking as an input method on a mobile device. The procedure used a non-ISO Fitts' law task since targets were randomly positioned from trial to trial. Due to a non-constant amplitude within each sequence of trials, throughput was calculated using two methods of data aggregation: by sequence of trials using the mean amplitude and by common A-W conditions. For each data set, we used four methods for calculating throughput. The grand mean for throughput calculated using the division of means and the adjustment for accuracy was 0.74 bps, which is 45% lower than the value obtained using an ISO task. We recommend calculating throughput using the division of means (and not the slope reciprocal from the regression model) and with the adjustment for accuracy. We present design recommendation for non-ISO tasks: Keep amplitude and target width constant within each sequence of trials and use strategies to avoid or remove reaction time.
通过非iso任务评估fitts的法律绩效
我们使用目标选择任务来评估头部跟踪作为移动设备上的输入法。该程序使用了非iso菲茨定律任务,因为目标从一个试验随机定位到另一个试验。由于每个试验序列的振幅不恒定,因此使用两种数据聚合方法计算吞吐量:使用平均振幅的试验序列和使用常见的a - w条件。对于每个数据集,我们使用了四种方法来计算吞吐量。使用均值除法和精度调整计算的吞吐量的大平均值为0.74 bps,比使用ISO任务获得的值低45%。我们建议使用均值除法(而不是回归模型的斜率倒数)和精度调整来计算吞吐量。我们提出了非iso任务的设计建议:在每个试验序列中保持振幅和目标宽度恒定,并使用策略来避免或消除反应时间。
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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