Affiliation:
1. University of Massachusetts, Amherst, Massachusetts
Abstract
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.
Subject
Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics
Cited by
46 articles.
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