Fisher D L, Coury B G, Tengs T O, Duffy S A
Hum Factors. 1989 Apr;31(2):167-82. doi: 10.1177/001872088903100206.
Office computer users frequently need to search long lists of options for a particular target. Highlighting a subset of the options can shorten the average display search time. The goal of the current research was to identify the subset of options to highlight that minimizes users' average search time for any given display. To begin, a mathematical model of the visual search process was constructed which could be used to predict the average search time for a target in a display with or without highlighted options. The predictions of this model were then compared with the results of a visual search experiment that varied the type of highlighting (blocked, random, or no highlighting), the number of highlighted options, and the probability that a target was highlighted. Overall the predictions of the model were consistent with the results from the experiment. Finally, procedures based on the model were developed which could be used to find the optimal subset of options to highlight for a given display--that is, the subset of highlighted options that minimizes users' search times.
办公室电脑用户经常需要在长长的选项列表中搜索特定目标。突出显示一部分选项可以缩短平均显示搜索时间。当前研究的目标是确定要突出显示的选项子集,以将用户在任何给定显示中的平均搜索时间降至最低。首先,构建了一个视觉搜索过程的数学模型,该模型可用于预测在有或没有突出显示选项的显示中搜索目标的平均时间。然后将该模型的预测结果与一项视觉搜索实验的结果进行比较,该实验改变了突出显示的类型(块状、随机或无突出显示)、突出显示选项的数量以及目标被突出显示的概率。总体而言,模型的预测结果与实验结果一致。最后,开发了基于该模型的程序,可用于找到给定显示要突出显示的最佳选项子集,即能将用户搜索时间降至最低的突出显示选项子集。