Periodic Tapping Mechanisms of Skill Learning in a Fast-Paced Video Game

Timing plays a critical role when building up motor skill. In this study, we investigated and simulated human skill learning in a simplified variant of the Space Fortress video game named Auto Orbit with a strong timing component. Our principal aim was to test whether a computational model designed to simulate keypress actions repeated at rates slower than 500 ms (>500 ms) could also simulate human learning with repeated keypress actions taking place at very fast rates (<= 500 ms). The main finding was that increasing speed stress forced human participants to qualitatively switch their behavior from a cognitively controlled strategy to an inherently rhythmic motor strategy. We show how the adaptive control of thought rational architecture's periodic tapping motor extension can replicate such rhythmic patterns of keypresses in two different computational models of human learning. The first model implements streamed motor actions across hands that are temporally decoupled, while the second model implements a coupled motor strategy in which actions from both hands are executed relative to the same periodic motor clock. Different subsets of subjects correspond to these two models. Our modeling simulations integrate previous psychological and motor control findings within a single cognitive architecture, and successfully replicate human behavioral patterns across a range of experimental measures at fast speed.