A performance model of system delay and user strategy selection

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Abstract
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 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.

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