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, 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.
Cite
Text
Amant et al. "AI Support for Building Cognitive Models." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Amant et al. "AI Support for Building Cognitive Models." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/amant2006aaai-ai/)BibTeX
@inproceedings{amant2006aaai-ai,
title = {{AI Support for Building Cognitive Models}},
author = {Amant, Robert St. and McBride, Sean P. and Ritter, Frank E.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {1663-1666},
url = {https://mlanthology.org/aaai/2006/amant2006aaai-ai/}
}