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Every major OS provides an “alt-tab” interface: a keyboard shortcut for quickly switching between windows and applications.
To use it, you tap alt-tab and you are jumped back to the last focused window.
That promotes the habituation so your fingers can, over time, learn with for which app pairs to tap tab and for which to double-tap tab. App switching can be be modeled with a Markov model.
Why not crunch the numbers in real-time and use the output of the Markov model to determine to which app you are most likely to switch?
This works well with spatial memory as applications are exactly where you left them, but it entirely ignores the need to quick-switch between two apps.