A Quantitative Model of Expert Transcription Typing

The Model of Expert Transcription Typing (METT) is a quantitative model built within the architecture of the Model Human Processor (MHP, Card, Moran & Newell, 1983). As such, it can be used to make quantitative predictions of performance on typing tasks, can be integrated with other MHP-based models of performance (e.g., choice reaction time), and can be extended to other typing- like domains (e.g., a data-entry task). In this paper, I apply the METT to transcription typing tasks that display robust behavioral phenomena (Salthouse, 1986) and evaluate its performance relative to these tasks. I briefly discuss integration with other MHP-based models and extension of the METT to predict performance in a complex, real-world task.