In recent years, research predicting search through webpages has begun to be successful. However, existing tools ignore the order in which on-screen options are evaluated and therefore might make inaccurate predictions. We developed CogTool-Explorer and used it to model a previously published web-based experiment. Its predictions were better than those of a previously published tool, and included the order of evaluation effect not accounted for by previous tools. These more accurate predictions can be attributed to CogTool-Explorer's approach of using a satisficing process model, with a visual search strategy and an accurate description of the visual interface in concert.
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