Cogtool-explorer: towards a tool for predicting user interaction

  • Authors:
  • Leonghwee Teo;Bonnie E. John

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA

  • Venue:
  • CHI '08 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2008

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Abstract

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 the approach used in CogTool-Explorer.