Human motor learning dynamics in high-dimensional tasks
Fig 7
Probabilities of entering the targets as a function of target size and learning threshold (FME) for different trial times. For smaller trial times, lower learning thresholds (high learning accuracy) are required to achieve high success probabilities for the same target sizes. Satisficing behavior is observed at high learning accuracy (low FME) levels, where learning with higher accuracy does not necessarily increase success probabilities. The zoomed view (right) for probability curves at high learning accuracy (low FME) levels for 1.2s trial time shows the satisficing effect. Curves are average success probabilities with 95% confidence bounds over 1280 Monte Carlo runs of the HML model. Values of ρ are relative to the size of the unit cell of the game grid.