@inproceedings{cd47cc16df0e4e2abb8b8cbd263028ac,
title = "AI support for building cognitive models",
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.",
author = "{St. Amant}, Robert and McBride, {Sean P.} and Ritter, {Frank E.}",
year = "2006",
language = "English (US)",
isbn = "1577352815",
series = "Proceedings of the National Conference on Artificial Intelligence",
pages = "1663--1666",
booktitle = "Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06",
note = "21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 ; Conference date: 16-07-2006 Through 20-07-2006",
}