NSF Young Investigator

目前的“人类行为工程模型”可以预测专家用来完成计算机系统任务的过程以及完成这些任务所需的时间。在这个项目中，模型被扩展到预测计算机新手用户表现出的问题解决行为，在现实情况下的学习，以及他们的犯错误和检测错误。与以前的专家用户模型一样，了解这些改进的行为模型的预测能力的计算机开发人员可以使用这些新模型，以在其设计的规范阶段早期评估可选的接口方法，甚至在运行系统或原型可用之前。

Current "engineering models of human performance" can predict the processes experts use to accomplish tasks with a computer system and the time it takes to complete these tasks. In this project the models are extended to predict the problem-solving behavior exhibited by novice computer users, learning in realistic situations, and their commission and detection of errors. As is the case with the previous models of expert users, these new models can be used by computer developers who understand the predictive power of these improved models of behavior to evaluate alternative interface approaches early in the specification stages of their design, even before running systems or prototypes are available.