Currently there’s only one type of training session, which selects fully random samples, and the user guesses the mapped color after listening to the sample however many times they wish. The procedure that a training session follows should be an option in the dashboard’s new session form.
An example of an alternative training procedure:
select all random samples and calculate their future movements beforehand
sort the samples by their future movements
play back each of the samples in order, with the true color displayed, and without the user having to guess what the color should be
This future-movement-sorted-samples training procedure would reinforce the notion of certain sounds seeming more red and others seeming more green, by grouping like colored sounds together.
Currently there’s only one type of training session, which selects fully random samples, and the user guesses the mapped color after listening to the sample however many times they wish. The procedure that a training session follows should be an option in the dashboard’s new session form.
An example of an alternative training procedure:
This future-movement-sorted-samples training procedure would reinforce the notion of certain sounds seeming more red and others seeming more green, by grouping like colored sounds together.