Task Switching

Task switching research measures the price paid at the moment of transition between two different tasks, known as switch cost: reaction time and error rate both rise on the first trial after a rule change, compared to a trial that repeats the same rule. Monsell's (2003) review established that part of this cost is reducible through advance preparation, but a portion is residual, it persists even when the performer has unlimited time to prepare for the upcoming switch, which implies a genuine reconfiguration process in the cognitive system rather than simple carelessness or surprise.

Reference: Monsell, 2003. The NeuroRank implementation holds the canonical form and scales interference via task-irrelevant stimulus density.

1. The beat lost moving from tracking a strafing target to reacting to a sudden peek from an unwatched angle within the same engagement.
2. The friction of alternating between a macro task, checking objective timers and rotations, and a sudden micro duel that demands full attention.
3. Swapping from a build-menu or inventory screen back into real-time combat under time pressure.

NeuroRank does not run a formal alternating-rule task-switching paradigm across its six modules today, each module tests one skill in relative isolation rather than forcing rapid alternation between rule sets within a single trial block. The Consistency dimension, which scores variance in performance across a session's trials, is the closest indirect signal available: a player who maintains stable output as module demands change session to session is, at minimum, not showing the kind of context-transition breakdown task-switching research describes.