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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 hypothesizedto 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.
Teal et al. (Wed,) studied this question.