This study lays the ground work for a predictive, zero-parameter engineering model that characterizes the relationship between system delay and user performance. This study specifically investigates how system delays affects a user’s selection of task strategy. Strategy selection is hypothesized
to be based on a cost function combining two factors: (1) the effort required to synchronize input with system availability and (2) the accuracy level afforded. Results indicate that users, seeking to minimize effort and maximize accuracy, choose among three strategies - automatic performance,
pacing, and monitoring. These findings provide a systematic account of the influence of system delay on user performance, based on adaptive strategy choice drive by cost.
Available at: http://works.bepress.com/alexander_rudnicky/39/