Reducing the Variability between Novice Modelers: Results of a Tool for Human Performance Modeling Produced through Human-Centered Design

摘要

The variation between novice modelers has not been extensively studied, but it is important to organizations wishing to employ predictive human performance models in their system design process. This paper reports on the statistically-significant reduction in variation between novice modelers achieved by CogTool over the previously-established by-hand method of predicting the task execution time of skilled users (Keystroke-Level Model). CogTool was developed using human-centered design techniques specifically to understand and prevent novice errors by transforming the modeling process into an integral part of the system design process and these techniques seem to have worked.