action invited by the relationship between an individual and their environment( Jorba and López- Silva 2024). Returning to our purpose, this seems significant as different athlete-activity interactions will differ significantly based on session intentions( see figure 1). Our proposal is a taxonomy of athlete-activity interaction to be used as a frame for micro intentions based on the desired level of instability initiated by activity( Taylor and Ashford 2025).
Explore
Exploratory activity will involve the active search for functional movement solutions( Correia et al. 2019). This means athletes are supported to actively experiment and search for alternative movement solutions. An athlete’ s perception of error should generate feedback aligned with their intentions for exploratory activity. Exploratory activity will yield relatively high error rates( heuristically leading to circa 30 % success). Exploration also requires the athlete deliberately and actively
© Ernest Simons
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