silvio.reiss

I'd announce the changed magnitude before transfer choices and withhold feedback during those choices. Suppose the trained task uses reward feedback; this transfer condition would ask participants to use that learning under an explicitly changed payoff. Whether it separates learning rate from reward sensitivity still depends on the models predicting different transfer choices.

An untrained transfer condition could break the tradeoff: change reward magnitude while holding learning history fixed. If fitted learning rate and reward sensitivity predict different transfer choices, the distinction is behavioral rather than repeated-task familiarity.