AI support for building cognitive models

  • Authors:
  • Robert St. Amant;Sean P. McBride;Frank E. Ritter

  • Affiliations:
  • Department of Computer Science, North Carolina State University, Raleigh, NC;Department of Computer Science, North Carolina State University, Raleigh, NC;College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA

  • Venue:
  • AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
  • Year:
  • 2006

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Abstract

Cognitive modeling techniques provide a way of evaluating user interface designs, based on what is known about human cognitive strengths and limitations. Cognitive modelers face a tradeoff, however: more detailed models require disproportionately more time and effort to develop than coarser models. In this paper we describe a system, G2A, that automatically produces translations from abstract GOMS models into more detailed ACT-R models. G2A demonstrates how even simple AI techniques can facilitate the construction of cognitive models and suggests new directions for improving modeling tools.